libsvm-mat-2.89-3[FarutoUltimate3.0Mcode] (1).rar_libsvm-mat-3._matlab

<html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta charset="utf-8"> <meta name="generator" content="pdf2htmlEX"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <link rel="stylesheet" href="https://static.pudn.com/base/css/base.min.css"> <link rel="stylesheet" href="https://static.pudn.com/base/css/fancy.min.css"> <link rel="stylesheet" href="https://static.pudn.com/prod/directory_preview_static/626c1ca51e41a87e8aab673e/raw.css"> <script src="https://static.pudn.com/base/js/compatibility.min.js"></script> <script src="https://static.pudn.com/base/js/pdf2htmlEX.min.js"></script> <script> try{ pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({}); }catch(e){} </script> <title></title> </head> <body> <div id="sidebar" style="display: none"> <div id="outline"> </div> </div> <div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/626c1ca51e41a87e8aab673e/bg1.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">Libsvm<span class="ff2 ls1">‐</span><span class="ls2">F<span class="_ _0"></span>aru<span class="_ _1"></span>toUl<span class="_ _1"></span>tim<span class="_ _1"></span>ate3.<span class="_ _1"></span>0<span class="ff2 ls1"></span><span class="ls3">by<span class="ff2 ls1"><span class="_ _1"></span></span><span class="ls4">far<span class="_ _1"></span>u<span class="_ _1"></span>to<span class="_ _1"></span><span class="ff2 ls1"></span><span class="ls5">Super<span class="ff2 ls1"></span><span class="ls6">Modera<span class="_ _0"></span>tor<span class="ff2 ls1"><span class="ff1">@</span></span><span class="ls5">www<span class="_ _0"></span>.ilovematlab.cn<span class="ff2 ls1"></span></span></span></span></span></span></span></div><div class="t m0 x2 h3 y2 ff2 fs1 fc0 sc0 ls7 ws0">‐<span class="ff1 ls1">1</span><span class="ls8">‐</span></div><div class="t m0 x3 h4 y3 ff2 fs1 fc0 sc0 ls1 ws0"></div><div class="t m0 x4 h5 y4 ff3 fs2 fc0 sc0 ls9 ws0">Libsvm-FarutoUltimate3.0 based on libsvm-mat-2.89-3 </div><div class="t m0 x5 h5 y5 ff3 fs2 fc0 sc0 lsa ws1">By faruto @ faruto's S<span class="_ _2"></span>tudio~ </div><div class="t m0 x3 h6 y6 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x6 h6 y7 ff4 fs3 fc0 sc0 lsb ws0">Email:patrick.lee@foxmail.com<span class="_ _0"></span> </div><div class="t m0 x7 h6 y8 ff4 fs3 fc0 sc0 lsc ws0">QQ:516667408 </div><div class="t m0 x8 h6 y9 ff4 fs3 fc0 sc0 lsd ws0">http://blog.sina.com.cn/faruto </div><div class="t m0 x9 h6 ya ff4 fs3 fc0 sc0 lse ws2">last modified 2010.01.17 </div><div class="t m0 x5 h6 yb ff4 fs3 fc0 sc0 lsf ws3">Super Moderator @ <span class="fc1 lse ws0">www<span class="_ _2"></span>.ilovem<span class="_ _0"></span>atlab.cn<span class="fc0 ls1"> </span></span></div><div class="t m0 x3 h6 yc ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 yd ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h7 ye ff3 fs3 fc0 sc0 ls10 ws4">1 Prologue </div><div class="t m0 x3 h6 yf ff4 fs3 fc0 sc0 ls1 ws0"> <span class="_ _3"> </span><span class="ff5">首先要感谢<span class="_ _4"> </span></span><span class="ls11">MA<span class="_ _5"></span>TLAB<span class="_"> </span><span class="ff5 ls1">中文论坛，<span class="_ _5"></span>感谢我们的<span class="_ _4"> </span><span class="ff4 ls12">math<span class="_ _4"> </span></span>老大，<span class="_ _5"></span>提供这样一个学术</span></span></div><div class="t m0 x3 h8 y10 ff5 fs3 fc0 sc0 ls1 ws0">气氛浓厚的环境，<span class="_ _5"></span>大家能在这里互相探讨问题，<span class="_ _6"></span>解决问题，<span class="_ _6"></span>并把自己的一些好的</div><div class="t m0 x3 h6 y11 ff5 fs3 fc0 sc0 ls1 ws0">想法与大家分享。说起<span class="_ _4"> </span><span class="ff4 ls11">MA<span class="_ _5"></span>TLAB<span class="_"> </span><span class="ff5 ls1">中文论坛，我本人是在本科大三时发现的，那</span></span></div><div class="t m0 x3 h8 y12 ff5 fs3 fc0 sc0 ls13 ws0">时运筹学期末要交大作业，我把单纯形法的一<span class="ls14">些经典算法实现了，想要用</span></div><div class="t m0 x3 h6 y13 ff4 fs3 fc0 sc0 ls15 ws0">MA<span class="_ _5"></span>TLAB<span class="_"> </span><span class="ff5 ls1">做一个<span class="_ _4"> </span></span><span class="ls16">GUI<span class="ff5 ls1">，<span class="_ _0"></span>进而找到了<span class="_ _0"></span>“组织”<span class="_ _0"></span>——<span class="ff4 ls15">MA<span class="_ _5"></span>TLAB<span class="_"> </span><span class="ff5 ls11">中文论坛，<span class="_ _2"></span>和论坛一</span></span></span></span></div><div class="t m0 x3 h6 y14 ff5 fs3 fc0 sc0 ls1 ws0">直走到今天。<span class="ff4"> </span></div><div class="t m0 x3 h6 y15 ff4 fs3 fc0 sc0 ls1 ws0"> <span class="_ _3"> </span><span class="ff5">其次要感谢<span class="_ _7"> </span></span><span class="ls17">libsvm<span class="_ _7"> </span></span><span class="ff5">的原始作者台湾大学的林智仁先生，没有他的<span class="_ _7"> </span></span><span class="ls17">libsvm<span class="_ _7"> </span></span><span class="ff5">工</span></div><div class="t m0 x3 h6 y16 ff5 fs3 fc0 sc0 ls1 ws0">具箱，这些在<span class="_ _8"> </span><span class="ff4 ls11">MA<span class="_ _5"></span>TLAB<span class="_ _8"> </span><span class="ff5 ls18">环境里面的<span class="_ _8"> </span></span><span class="ls19">SVM<span class="_ _8"> </span><span class="ff5 ls1a">的辅助函数也就没有存在意义。在此</span></span></span></div><div class="t m0 x3 h6 y17 ff5 fs3 fc0 sc0 ls1 ws0">给出<span class="_ _4"> </span><span class="ff4 ls1b">libsvm<span class="_"> </span></span><span class="ls11">的原始引用注明：</span><span class="ff4"> </span></div><div class="t m0 x3 h6 y18 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 xa h7 y19 ff3 fs3 fc0 sc0 ls1c ws5">Chih-Chung Chang and Chih-Jen Lin, LI<span class="ls1d ws6">BSVM : a library for support vector<span class="_ _0"></span> </span></div><div class="t m0 xb h7 y1a ff3 fs3 fc0 sc0 lsf ws3">machines, 2001. Softwar<span class="_ _0"></span>e available at <span class="fc1 ls11 ws0">http://www<span class="_ _2"></span>.csie.ntu.edu.tw/~cjlin/libsvm<span class="_ _0"></span><span class="fc0 ls1"> </span></span></div><div class="t m0 x3 h6 y1b ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 xc h6 y1c ff5 fs3 fc0 sc0 ls1 ws0">也希望大家在使用我的这个<span class="_ _4"> </span><span class="ff4 ls1b">libsvm<span class="_ _9"> </span></span><span class="lsf">加强工具箱时或转载我的<span class="_ _9"> </span><span class="ff4 ls19">SVM<span class="_"> </span></span></span>的辅助函</div><div class="t m0 x3 h6 y1d ff5 fs3 fc0 sc0 ls1 ws0">数时给出原始引用注明：<span class="ff4"> </span></div><div class="t m0 xc h6 y1e ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 xc h6 y1f ff4 fs3 fc0 sc0 ls1e ws0">%% <span class="_"> </span><span class="ff5 ls1f">若转载请注明：</span><span class="ls1"> </span></div><div class="t m0 xc h6 y20 ff4 fs3 fc0 sc0 lsb ws7">% faruto and liyang , LIBSVM-farutoUltim<span class="_ _0"></span>ateV<span class="_ _5"></span>ersion <span class="_"> </span> </div><div class="t m0 xc h6 y21 ff4 fs3 fc0 sc0 lse ws8">% a toolbox with implements for suppor<span class="lsd">t vector machines based on libsvm,2009. <span class="_"> </span> </span></div><div class="t m0 xc h6 y22 ff4 fs3 fc0 sc0 lse ws9">% Software available at http://www<span class="_ _2"></span>.ilovematlab.cn </div><div class="t m0 xc h6 y23 ff4 fs3 fc0 sc0 ls1e wsa">% </div><div class="t m0 xc h6 y24 ff4 fs3 fc0 sc0 ls1d wsb">% Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for </div><div class="t m0 xc h6 y25 ff4 fs3 fc0 sc0 lse wsc">% support vector machines, 2001. Software available at </div><div class="t m0 xc h6 y26 ff4 fs3 fc0 sc0 ls1e ws0">% <span class="fc1 lsf">http://www<span class="_ _2"></span>.csie.ntu.edu.tw/~cjlin<span class="_ _0"></span>/libsvm<span class="fc0 ls1"> </span></span></div><div class="t m0 x3 h6 y27 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y28 ff4 fs3 fc0 sc0 ls1 ws0"> <span class="_ _3"> </span><span class="ff5">给出原始引用注明的目的表明对原始作者的尊敬，无论是做学问还是做人，</span></div><div class="t m0 x3 h8 y29 ff5 fs3 fc0 sc0 ls1 ws0">若我们用了别人的东西，<span class="_ _a"></span>最好注明，<span class="_ _a"></span>若是我们自己的原创，<span class="_ _a"></span>那就表明创新点就好。</div><div class="t m0 x3 h6 y2a ff5 fs3 fc0 sc0 ls1 ws0">言而总之，一句话：<span class="_ _b"></span>“做人要厚道”<span class="_ _b"></span>。<span class="ff4"> </span></div></div><div class="pi" data-data='{"ctm":[1.611639,0.000000,0.000000,1.611639,0.000000,0.000000]}'></div></div> </body> </html>

<div id="pf2" class="pf w0 h0" data-page-no="2"><div class="pc pc2 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/626c1ca51e41a87e8aab673e/bg2.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">Libsvm<span class="ff2 ls1">‐</span><span class="ls2">F<span class="_ _0"></span>aru<span class="_ _1"></span>toUl<span class="_ _1"></span>tim<span class="_ _1"></span>ate3.<span class="_ _1"></span>0<span class="ff2 ls1"></span><span class="ls3">by<span class="ff2 ls1"><span class="_ _1"></span></span><span class="ls4">far<span class="_ _1"></span>u<span class="_ _1"></span>to<span class="_ _1"></span><span class="ff2 ls1"></span><span class="ls5">Super<span class="ff2 ls1"></span><span class="ls6">Modera<span class="_ _0"></span>tor<span class="ff2 ls1"><span class="ff1">@</span></span><span class="ls5">www<span class="_ _2"></span>.ilovematlab.cn<span class="ff2 ls1"></span></span></span></span></span></span></span></div><div class="t m0 x2 h3 y2 ff2 fs1 fc0 sc0 ls7 ws0">‐<span class="ff1 ls1">2</span><span class="ls8">‐</span></div><div class="t m0 x3 h4 y3 ff2 fs1 fc0 sc0 ls1 ws0"></div><div class="t m0 x3 h6 y2b ff4 fs3 fc0 sc0 ls1 ws0"> <span class="_ _3"> </span><span class="ff5">说起<span class="_ _4"> </span></span><span class="ls19">SVM</span><span class="ff5">，其实我本人的专业是应用数学，方向是模糊数学，</span><span class="lsb">SVM<span class="_ _c"> </span></span><span class="ff5">和我专</span></div><div class="t m0 x3 h8 y2c ff5 fs3 fc0 sc0 ls20 ws0">业的联系不是非常非常大，只是本科的时候在管理学院系统科学那边做过一个</div><div class="t m0 x3 h6 y2d ff4 fs3 fc0 sc0 ls21 ws0">EEG<span class="_"> </span><span class="ff5 lse">相关的项目，<span class="_ _6"></span>那时候接触的<span class="_ _4"> </span><span class="ff4 ls19">SVM</span><span class="ls1">，<span class="_ _6"></span>就一直学习研究至此。<span class="_ _5"></span>所以说研究<span class="_ _9"> </span><span class="ff4 ls19">SVM</span></span></span></div><div class="t m0 x3 h6 y2e ff5 fs3 fc0 sc0 ls1 ws0">并使用<span class="_ _4"> </span><span class="ff4 lsb">SVM<span class="_"> </span></span>是我的个人爱好。<span class="ff4 ls16">O(</span>∩<span class="ff4">_</span>∩<span class="ff4 ls22">)O </span></div><div class="t m0 x3 h7 y2f ff3 fs3 fc0 sc0 ls1 ws0">2 <span class="_"> </span><span class="ff5 sc1 ls23">关于<span class="_ _4"> </span></span><span class="lsb">SVM<span class="_"> </span><span class="ff5 sc1 ls24">的资源汇总</span></span> </div><div class="t m0 x3 h6 y30 ff4 fs3 fc0 sc0 ls19 ws0">SVM<span class="_"> </span><span class="ff5 ls1">相关资源汇总</span><span class="ls1a wsd">[matlab-libsvm-class-regress](by faruto) </span></div><div class="t m0 x3 h6 y31 ff4 fs3 fc1 sc0 ls1a ws0">http://www<span class="_ _2"></span>.ilovematlab.cn/thread-35262-1-1.htm<span class="_ _0"></span>l<span class="fc0 ls1"> </span></div><div class="t m0 x3 h6 y32 ff5 fs3 fc2 sc0 ls1 ws0">注：<span class="_ _6"></span><span class="fc0">若您对<span class="_ _4"> </span><span class="ff4 ls19">SVM<span class="_"> </span></span>以及<span class="_ _4"> </span><span class="ff4 ls17">libsvm<span class="_"> </span></span><span class="lsd">的使用有任何疑问，<span class="_ _6"></span>我强烈建议您先到论坛里看看</span></span></div><div class="t m0 x3 h6 y33 ff5 fs3 fc0 sc0 lsc ws0">这个帖子，<span class="_ _d"></span>查找一下看能否找到答案，<span class="_ _d"></span>不出意外的话<span class="_ _4"> </span><span class="ff4 ls1">95%<span class="ff5">的问题在这里您都能找</span></span></div><div class="t m0 x3 h8 y34 ff5 fs3 fc0 sc0 ls1 ws0">到解决办法或者相关的一些讨论。<span class="_ _e"></span>这样做利己利人，<span class="_ _e"></span>利己指的是您可以系统看到</div><div class="t m0 x3 h8 y35 ff5 fs3 fc0 sc0 ls1 ws0">相应问题的解决办法；<span class="_ _e"></span>利人指的是若您直接在论坛里发帖提问，<span class="_ _e"></span>而此问题若已经</div><div class="t m0 x3 h6 y36 ff5 fs3 fc0 sc0 ls1 ws0">有解决办法，就会有人重复的帮您回答，这样很耽误大家时间。<span class="ff4"> </span></div><div class="t m0 x3 h6 y37 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 yf ff4 fs3 fc0 sc0 lsb ws0">libsvm-mat-2.89-3-[farutoUltimateV<span class="_ _6"></span>ersion] </div><div class="t m0 x3 h6 y10 ff4 fs3 fc1 sc0 lse ws0">http://www<span class="_ _2"></span>.ilovematlab.cn/thread-54665-1-1.htm<span class="_ _0"></span>l<span class="fc0 ls1"> </span></div><div class="t m0 x3 h8 y11 ff5 fs3 fc2 sc0 ls1 ws0">注：<span class="_ _e"></span><span class="fc0">以上链接为该加强工具箱的更新地址，<span class="_ _e"></span>您只需关注这个帖子就可以得到这个</span></div><div class="t m0 x3 h6 y12 ff5 fs3 fc0 sc0 ls1 ws0">工具箱的相关更新消息了。<span class="ff4"> </span></div><div class="t m0 x3 h6 y13 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y14 ff4 fs3 fc0 sc0 ls19 ws0">SVM<span class="_"> </span><span class="ff5 ls1">讲解视频汇总</span><span class="ls25 wse">[by faruto] </span></div><div class="t m0 x3 h6 y15 ff4 fs3 fc1 sc0 lse ws0">http://www<span class="_ _2"></span>.ilovematlab.cn/thread-62252-1-1.htm<span class="_ _0"></span>l<span class="fc0 ls1"> </span></div><div class="t m0 x3 h6 y16 ff5 fs3 fc2 sc0 ls1 ws0">注<span class="ff4">:</span><span class="fc0">这是我在论坛里面制作的相应的<span class="_ _4"> </span><span class="ff4 ls19">SVM<span class="_"> </span></span>教学视频，<span class="_ _6"></span>若您是新手，<span class="_ _e"></span>建议您先看看</span></div><div class="t m0 x3 h6 y17 ff5 fs3 fc0 sc0 ls1 ws0">视频，这样会很快上手的。<span class="ff4"> </span></div><div class="t m0 x3 h6 y18 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y38 ff5 fs3 fc0 sc0 ls1 ws0">欢迎您购买<span class="ff4"> <span class="_"> </span></span>《<span class="ff4 lsc">MA<span class="_ _5"></span>TLAB <span class="_"> </span><span class="ff5 ls1">神经网络<span class="_ _4"> </span><span class="ff4">30<span class="_"> </span></span>个案例分析》<span class="_ _b"></span>（我是作者之一）<span class="ff4"> </span></span></span></div><div class="t m0 x3 h6 y39 ff4 fs3 fc0 sc0 ls19 ws0">SVM<span class="_"> </span><span class="ff5 ls1">是该书的内容之一<span class="ff4"> </span></span></div><div class="t m0 x3 h6 y3a ff5 fs3 fc0 sc0 ls1 ws0">购买方式：<span class="ff4 fc1 lse">http://www<span class="_ _2"></span>.ilovematlab.cn/thread-47939-1-1.htm<span class="_ _0"></span>l<span class="fc0 ls1"> </span></span></div><div class="t m0 x3 h6 y3b ff4 fs3 fc0 sc0 ls26 ws0">MA<span class="_ _5"></span>TLAB <span class="_"> </span><span class="ff5 ls1">神经网络<span class="_ _4"> </span><span class="ff4">30<span class="_"> </span></span>个案例分析——目录<span class="ff4"> </span></span></div><div class="t m0 x3 h6 y3c ff4 fs3 fc1 sc0 lse ws0">http://www<span class="_ _2"></span>.ilovematlab.cn/thread-59023-1-1.htm<span class="_ _0"></span>l<span class="fc0 ls1"> </span></div><div class="t m0 x3 h6 y3d ff5 fs3 fc2 sc0 ls1 ws0">注：<span class="fc0">以上是论坛策划，由我们几个共同版主编写的一本书，<span class="ff4 ls19">SVM<span class="_ _f"> </span></span><span class="lsb">是该书的内容</span></span></div><div class="t m0 x3 h6 y3e ff5 fs3 fc0 sc0 ls1 ws0">之一。<span class="ff4"> </span></div><div class="t m0 x3 h7 y3f ff3 fs3 fc0 sc0 ls1 ws0">3 <span class="_"> </span><span class="ff5 sc1 ls23">更新说明</span> </div><div class="t m0 xc h6 y40 ff5 fs3 fc0 sc0 ls1 ws0">（<span class="ff4">1</span>） 使用<span class="_ _9"> </span><span class="ff4 lsf">Shef<span class="_ _2"></span>field<span class="_ _9"> </span><span class="ff5 ls1">大学制作的<span class="_ _10"> </span></span><span class="ls1d">gatoolbox<span class="_ _10"> </span><span class="ff5 ls1">重新编写了用<span class="_ _10"> </span></span><span class="ls16">GA<span class="_ _10"> </span><span class="ff5 ls27">来进行<span class="_ _10"> </span></span><span class="ls19">SVM<span class="_ _9"> </span><span class="ff5 ls1">参</span></span></span></span></span></div><div class="t m0 xd h6 y41 ff5 fs3 fc0 sc0 ls1 ws0">数寻优的插件函数，效果更佳。<span class="ff4"> </span></div><div class="t m0 xc h6 y42 ff5 fs3 fc0 sc0 ls1 ws0">（<span class="ff4">2</span>） 添加了利用启发式方法对<span class="_ _4"> </span><span class="ff4">c</span>，<span class="_ _11"></span><span class="ff4">g<span class="ff5">，<span class="_ _11"></span><span class="ff4">p<span class="_ _11"></span><span class="ff5">（回归问题）<span class="_ _11"></span>三个参数寻优的函数。<span class="_ _b"></span><span class="ff4"> </span></span></span></span></span></div><div class="t m0 xc h6 y43 ff5 fs3 fc0 sc0 ls1 ws0">（<span class="ff4">3</span><span class="lsc">） 将所有的插件函数进行了重新整合，<span class="_ _2"></span>封装了统一的函数接口，<span class="_ _2"></span><span class="ff4 ls28">SVC.m</span></span></div><div class="t m0 xd h6 y44 ff5 fs3 fc0 sc0 ls1 ws0">和<span class="_ _4"> </span><span class="ff4 ls28">SVR.m<span class="_"> </span></span>来处理分类问题和回归问题。<span class="ff4"> </span></div><div class="t m0 xc h6 y45 ff5 fs3 fc0 sc0 ls1 ws0">（<span class="ff4">4</span>） 制作了详细的使用说明介绍<span class="_ _4"> </span><span class="ff4 lsb">T<span class="_ _2"></span>utorialForFarutoUltimate3.0.pdf<span class="ff5 ls1">。<span class="ff4"> </span></span></span></div></div><div class="pi" data-data='{"ctm":[1.611639,0.000000,0.000000,1.611639,0.000000,0.000000]}'></div></div>

<div id="pf3" class="pf w0 h0" data-page-no="3"><div class="pc pc3 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/626c1ca51e41a87e8aab673e/bg3.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">Libsvm<span class="ff2 ls1">‐</span><span class="ls2">F<span class="_ _0"></span>aru<span class="_ _1"></span>toUl<span class="_ _1"></span>tim<span class="_ _1"></span>ate3.<span class="_ _1"></span>0<span class="ff2 ls1"></span><span class="ls3">by<span class="ff2 ls1"><span class="_ _1"></span></span><span class="ls4">far<span class="_ _1"></span>u<span class="_ _1"></span>to<span class="_ _1"></span><span class="ff2 ls1"></span><span class="ls5">Super<span class="ff2 ls1"></span><span class="ls6">Modera<span class="_ _0"></span>tor<span class="ff2 ls1"><span class="ff1">@</span></span><span class="ls5">www<span class="_ _2"></span>.ilovematlab.cn<span class="ff2 ls1"></span></span></span></span></span></span></span></div><div class="t m0 x2 h3 y2 ff2 fs1 fc0 sc0 ls7 ws0">‐<span class="ff1 ls1">3</span><span class="ls8">‐</span></div><div class="t m0 x3 h4 y3 ff2 fs1 fc0 sc0 ls1 ws0"></div><div class="t m0 x3 h6 y2b ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y2c ff5 fs3 fc2 sc0 ls1 ws0">注：<span class="_ _5"></span><span class="fc0 ls1c">从此次工具箱更新开始将不提供原始的<span class="_ _4"> </span><span class="ff4 ls1">m<span class="_"> </span><span class="ff5">文件源代码，<span class="_ _11"></span>而只提供<span class="_ _4"> </span><span class="ff4 lsd">pcode</span><span class="ls29">，若</span></span></span></span></div><div class="t m0 x3 h6 y2d ff5 fs3 fc0 sc0 ls1 ws0">您想要源代码，有以下几种方式：<span class="ff4"> </span></div><div class="t m0 xc h6 y2e ff5 fs3 fc0 sc0 ls1 ws0">（<span class="ff4">1</span>） 若您是<span class="_ _11"></span>《<span class="ff4 ls26">MA<span class="_ _5"></span>TLAB <span class="_"> </span><span class="ff5 ls18">神经网络<span class="_ _4"> </span></span><span class="ls1">30<span class="_"> </span><span class="ff5">个案例分析》<span class="_ _11"></span>书籍的购买者，<span class="_ _11"></span>我将免</span></span></span></div><div class="t m0 xd h8 y6 ff5 fs3 fc0 sc0 ls1 ws0">费赠送您源代码。<span class="_ _2"></span>您只需留下邮箱，<span class="_ _2"></span>我核实若您是书籍购买者，<span class="_ _0"></span>我会</div><div class="t m0 xd h6 y7 ff5 fs3 fc0 sc0 ls1 ws0">将源代码发到您的邮箱里面<span class="ff4"> </span></div><div class="t m0 xc h6 y8 ff5 fs3 fc0 sc0 ls1 ws0">关于该书<span class="ff4"> </span></div><div class="t m0 xc h6 y9 ff5 fs3 fc0 sc0 ls1 ws0">购买方式：<span class="ff4 lse">http://www<span class="_ _11"></span>.ilovematlab.cn/thread-47939-1-1.html </span></div><div class="t m0 xc h6 ya ff4 fs3 fc0 sc0 ls26 ws0">MA<span class="_ _5"></span>TLAB <span class="_"> </span><span class="ff5 ls1">神经网络<span class="_ _4"> </span><span class="ff4">30<span class="_"> </span></span>个案例分析——目录<span class="ff4"> </span></span></div><div class="t m0 xc h6 yb ff4 fs3 fc1 sc0 lse ws0">http://www<span class="_ _11"></span>.ilovematlab.cn/thread-59023-1-1.html<span class="fc0 ls1"> </span></div><div class="t m0 xc h6 yc ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 xc h6 yd ff5 fs3 fc0 sc0 ls1 ws0">（<span class="ff4">2</span>） 单独购买源代码<span class="ff4"> </span></div><div class="t m0 xc h6 y46 ff5 fs3 fc0 sc0 ls1 ws0">价钱：<span class="_ _11"></span><span class="ff4 ls10">20RMB <span class="_ _12"></span><span class="ff5 ls1">（看到自己的代码才<span class="_ _4"> </span><span class="ff4">20<span class="_"> </span></span>元出售，<span class="_ _11"></span>挺杯具的，<span class="_ _5"></span>但没办法总得定</span></span></div><div class="t m0 xc h6 y47 ff5 fs3 fc0 sc0 ls1 ws0">一个价位）<span class="ff4"> </span></div><div class="t m0 xc h6 y48 ff5 fs3 fc2 sc0 ls1 ws0">【人是社会中的人，我也得过活，我并没有那么高尚，人总得现实点。<span class="_ _b"></span>】<span class="ff4"> </span></div><div class="t m0 xc h6 y49 ff5 fs3 fc0 sc0 ls1 ws0">通知支付宝支付：我的支付宝账号<span class="_ _4"> </span><span class="ff4 fc1 ls2a">farutoliyang@gmail.com<span class="_ _0"></span><span class="fc0 ls1"> </span></span></div><div class="t m0 xc h8 y4a ff5 fs3 fc0 sc0 ls1 ws0">您支付后，<span class="_ _2"></span>只需留下你的支付宝账号并将交易截图贴出来，<span class="_ _2"></span>并留下邮箱，<span class="_ _0"></span>我</div><div class="t m0 xc h6 y4b ff5 fs3 fc0 sc0 ls1 ws0">看到核实后会将源代码发到您的邮箱里面。<span class="ff4"> </span></div><div class="t m0 xc h6 y4c ff5 fs3 fc0 sc0 ls1 ws0">（<span class="ff4">3</span>） 和我熟识的人，若有需要，我也会免费赠送源代码。<span class="ff4 ls16">O(</span>∩<span class="ff4">_</span>∩<span class="ff4 ls22">)O </span></div><div class="t m0 x3 h6 y4d ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h8 y4e ff5 fs3 fc0 sc0 ls1 ws0">其实若您只是使用的话，<span class="_ _6"></span>其实无需源代码。<span class="_ _5"></span>若想要源代码，<span class="_ _6"></span>我建议您通过第一种</div><div class="t m0 x3 h8 y4f ff5 fs3 fc0 sc0 ls2b ws0">方式，这个是最划算的。<span class="_ _b"></span><span class="fc3 ls2c">（其实后面两种只是噱头，俺真正的目的是想让您买本</span></div><div class="t m0 x3 h6 y50 ff5 fs3 fc3 sc0 ls1 ws0">书，那是一本超赞的书<span class="ff4">~</span>）<span class="ff4 fc0"> </span></div><div class="t m0 x3 h7 y51 ff3 fs3 fc0 sc0 ls1 ws0">4 <span class="_"> </span><span class="ff5 sc1 ls2d">辅助函数插件内容列表</span> </div><div class="t m0 x3 h6 y39 ff4 fs3 fc0 sc0 lse ws0">a_template_flow_usingSVM_class.m </div><div class="t m0 x3 h6 y3a ff5 fs3 fc0 sc0 ls1 ws0">脚本代码，一个利用<span class="_ _4"> </span><span class="ff4 ls19">SVM<span class="_"> </span></span>来分类的过程模板。<span class="ff4"> </span></div><div class="t m0 x3 h6 y3b ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y3c ff4 fs3 fc0 sc0 ls2e ws0">a_template_flow_usingSVM_regress<span class="_ _0"></span>.m </div><div class="t m0 x3 h6 y3d ff5 fs3 fc0 sc0 ls1 ws0">脚本代码，一个利用<span class="_ _4"> </span><span class="ff4 ls19">SVM<span class="_"> </span></span>来回归的过程模板。<span class="ff4"> </span></div><div class="t m0 x3 h6 y3e ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y52 ff4 fs3 fc0 sc0 lsf ws0">fasticaForSVM.m </div><div class="t m0 x3 h6 y53 ff4 fs3 fc0 sc0 ls2f ws0">ica<span class="_"> </span><span class="ff5 ls1f">降维预处理函数</span><span class="ls1"> </span></div><div class="t m0 x3 h6 y54 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y55 ff4 fs3 fc0 sc0 ls22 ws0">gaSVMcgForClass.m </div><div class="t m0 x3 h6 y56 ff5 fs3 fc0 sc0 ls1 ws0">对于分类问题利用<span class="_ _4"> </span><span class="ff4 ls16">GA<span class="_"> </span></span>来进行参数优化（<span class="ff4">c</span>，<span class="ff4">g</span>）<span class="_ _b"></span>。<span class="ff4"> </span></div><div class="t m0 x3 h6 y57 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y58 ff4 fs3 fc0 sc0 ls1a ws0">gaSVMcgForRegress.m </div><div class="t m0 x3 h6 y59 ff5 fs3 fc0 sc0 ls1 ws0">对于回归问题利用<span class="_ _4"> </span><span class="ff4 ls16">GA<span class="_"> </span></span>来进行参数优化（<span class="ff4">c</span>，<span class="ff4">g</span>）<span class="_ _b"></span>。<span class="ff4"> </span></div><div class="t m0 x3 h6 y5a ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y5b ff4 fs3 fc0 sc0 lsd ws0">gaSVMcgpForRegress.m </div><div class="t m0 x3 h6 y5c ff5 fs3 fc0 sc0 ls1 ws0">对于回归问题利用<span class="_ _4"> </span><span class="ff4 ls16">GA<span class="_"> </span></span>来进行参数优化（<span class="ff4">c</span>，<span class="ff4">g</span>，<span class="ff4">p</span>）<span class="_ _b"></span>。<span class="ff4"> </span></div></div><div class="pi" data-data='{"ctm":[1.611639,0.000000,0.000000,1.611639,0.000000,0.000000]}'></div></div>

<div id="pf4" class="pf w0 h0" data-page-no="4"><div class="pc pc4 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/626c1ca51e41a87e8aab673e/bg4.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">Libsvm<span class="ff2 ls1">‐</span><span class="ls2">F<span class="_ _0"></span>aru<span class="_ _1"></span>toUl<span class="_ _1"></span>tim<span class="_ _1"></span>ate3.<span class="_ _1"></span>0<span class="ff2 ls1"></span><span class="ls3">by<span class="ff2 ls1"><span class="_ _1"></span></span><span class="ls4">far<span class="_ _1"></span>u<span class="_ _1"></span>to<span class="_ _1"></span><span class="ff2 ls1"></span><span class="ls5">Super<span class="ff2 ls1"></span><span class="ls6">Modera<span class="_ _0"></span>tor<span class="ff2 ls1"><span class="ff1">@</span></span><span class="ls5">www<span class="_ _2"></span>.ilovematlab.cn<span class="ff2 ls1"></span></span></span></span></span></span></span></div><div class="t m0 x2 h3 y2 ff2 fs1 fc0 sc0 ls7 ws0">‐<span class="ff1 ls1">4</span><span class="ls8">‐</span></div><div class="t m0 x3 h4 y3 ff2 fs1 fc0 sc0 ls1 ws0"></div><div class="t m0 x3 h6 y2b ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y2c ff4 fs3 fc0 sc0 ls1 ws0">pcaForSVM.m </div><div class="t m0 x3 h6 y2d ff4 fs3 fc0 sc0 ls11 ws0">pca<span class="_"> </span><span class="ff5 ls1">降维预处理函数<span class="ff4"> </span></span></div><div class="t m0 x3 h6 y2e ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y6 ff4 fs3 fc0 sc0 ls22 ws0">psoSVMcgForClass.m </div><div class="t m0 x3 h6 y7 ff5 fs3 fc0 sc0 ls1 ws0">对于分类问题利用<span class="_ _4"> </span><span class="ff4 ls25">PSO<span class="_"> </span></span>来进行参数优化（<span class="ff4">c</span>，<span class="ff4">g</span>）<span class="_ _b"></span>。<span class="ff4"> </span></div><div class="t m0 x3 h6 y8 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y9 ff4 fs3 fc0 sc0 lsd ws0">psoSVMcgForRegress.m </div><div class="t m0 x3 h6 ya ff5 fs3 fc0 sc0 ls1 ws0">对于回归问题利用<span class="_ _4"> </span><span class="ff4 ls25">PSO<span class="_"> </span></span>来进行参数优化（<span class="ff4">c</span>，<span class="ff4">g</span>）<span class="_ _b"></span>。<span class="ff4"> </span></div><div class="t m0 x3 h6 yb ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 yc ff4 fs3 fc0 sc0 ls1 ws0">scaleForSVM.m </div><div class="t m0 x3 h6 yd ff5 fs3 fc0 sc0 ls1 ws0">归一化预处理函数<span class="ff4"> </span></div><div class="t m0 x3 h6 y46 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y47 ff4 fs3 fc0 sc0 lsc ws0">SVMcgForClass.m </div><div class="t m0 x3 h6 y48 ff5 fs3 fc0 sc0 ls1 ws0">对于分类问题网格参数优化（<span class="ff4">c</span>，<span class="ff4">g</span>）<span class="_ _b"></span>。<span class="ff4"> </span></div><div class="t m0 x3 h6 y49 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y4a ff4 fs3 fc0 sc0 ls22 ws0">SVMcgForRegress.m </div><div class="t m0 x3 h6 y4b ff5 fs3 fc0 sc0 ls1 ws0">对于回归问题网格参数优化（<span class="ff4">c</span>，<span class="ff4">g</span>）<span class="_ _b"></span>。<span class="ff4"> </span></div><div class="t m0 x3 h6 y4c ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y4d ff4 fs3 fc0 sc0 ls11 ws0">svmplot.m </div><div class="t m0 x3 h6 y4e ff5 fs3 fc0 sc0 ls30 ws0">分类问题的可视化图（分类超平面<span class="ls31">绘制仅对二维问题分类标签为<span class="ff4 ls1e">-1<span class="_ _13"> </span></span><span class="ls1">和<span class="ff4 ls17">+1<span class="_ _13"> </span></span><span class="ls32">的可</span></span></span></div><div class="t m0 x3 h6 y4f ff5 fs3 fc0 sc0 ls1 ws0">用）<span class="_ _b"></span>。<span class="ff4"> </span></div><div class="t m0 x3 h6 y50 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y5d ff4 fs3 fc0 sc0 ls16 ws0">VF<span class="_ _11"></span>.m </div><div class="t m0 x3 h6 y5e ff5 fs3 fc0 sc0 ls1 ws0">对于分类问题的一些评价指标<span class="_ _a"></span>（如准确率，<span class="_ _14"></span>正类准确率，<span class="_ _a"></span>负类准确率<span class="ff4 ls17 wsf"> bla,bla <span class="_ _d"></span>…<span class="ff5 ls1 ws0">）<span class="_ _b"></span>。<span class="_ _b"></span><span class="ff4"> </span></span></span></div><div class="t m0 x3 h6 y5f ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y60 ff4 fs3 fc0 sc0 ls33 ws0">SVC.m </div><div class="t m0 x3 h6 y61 ff5 fs3 fc0 sc0 ls1 ws0">对于分类问题各种函数插件的一个整合接口<span class="ff4"> </span></div><div class="t m0 x3 h6 y62 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y63 ff4 fs3 fc0 sc0 ls33 ws0">SVR.m </div><div class="t m0 x3 h6 y64 ff5 fs3 fc0 sc0 ls1 ws0">对于回归问题各种函数插件的一个整合接口<span class="ff4"> </span></div><div class="t m0 x3 h6 y65 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y66 ff4 fs3 fc0 sc0 ls34 ws0">Tu<span class="_ _1"></span>t<span class="_ _15"></span>o<span class="_ _1"></span>r<span class="_ _15"></span>i<span class="_ _1"></span>a<span class="_ _1"></span>l<span class="_ _15"></span>T<span class="_ _0"></span>e<span class="_ _1"></span>s<span class="_ _15"></span>t<span class="_ _1"></span>.<span class="_ _15"></span>m<span class="_ _1"></span> </div><div class="t m0 x3 h6 y67 ff5 fs3 fc0 sc0 ls1 ws0">使用说明介绍文件<span class="_ _4"> </span><span class="ff4 ls2e">T<span class="_ _2"></span>utorialForFarutoUltimate3.0.pdf<span class="_"> </span><span class="ff5 lsf">中的各种测试代码段。</span><span class="ls1"> </span></span></div><div class="t m0 x3 h6 y68 ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h7 y69 ff3 fs3 fc0 sc0 ls1 ws0">5 <span class="_"> </span><span class="ff5 sc1 ls35">辅助函数接口介绍以及测试</span> </div><div class="t m0 x3 h7 y6a ff3 fs3 fc0 sc0 ls1 ws0">[train_scale,test_scale,ps] = scaleFor<span class="ls1d">SVM(train_data,test_data,ymin,ymax) </span></div><div class="t m0 x3 h6 y6b ff4 fs3 fc0 sc0 ls1 ws0"> </div><div class="t m0 x3 h6 y6c ff5 fs3 fc0 sc0 ls1 ws0">输入<span class="ff4 ls36">: </span></div></div><div class="pi" data-data='{"ctm":[1.611639,0.000000,0.000000,1.611639,0.000000,0.000000]}'></div></div>