【GRNN预测】基于鲸鱼算法优化广义回归神经网络实现数据预测Matlab代码.zip

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【GRNN预测】基于鲸鱼算法优化广义回归神经网络实现数据预测Matlab代码
【GRNN预测】基于鲸鱼算法优化广义回归神经网络实现数据预测Matlab代码.zip
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<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/6247291954457c44d0aa3a7b/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/6247291954457c44d0aa3a7b/bg1.jpg"><div class="c x1 y1 w2 h2"><div class="t m0 x2 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">&#12304;<span class="ff2">GRNN</span>&#39044;&#27979;&#12305;&#22522;&#20110;&#40120;&#40060;&#31639;&#27861;&#20248;&#21270;&#24191;&#20041;&#22238;&#24402;&#31070;&#32463;&#32593;&#32476;&#23454;&#29616;&#25968;</div><div class="t m0 x2 h3 y3 ff1 fs0 fc0 sc0 ls0 ws0">&#25454;&#39044;&#27979;<span class="ff2">Matlab</span>&#20195;&#30721;</div><div class="t m0 x3 h4 y2 ff2 fs0 fc1 sc0 ls0 ws0"> </div><div class="t m0 x2 h3 y4 ff2 fs0 fc0 sc0 ls0 ws0">1 <span class="ff1">&#31616;&#20171;<span class="_ _0"> </span></span><span class="fc1"> </span></div><div class="t m0 x2 h5 y5 ff3 fs1 fc0 sc0 ls0 ws0">&#20026;&#23454;&#29616;&#31934;&#20934;&#26045;&#32933;<span class="ff4">"</span>&#20943;&#26045;&#22686;&#25928;<span class="ff4">"</span>&#30340;&#25968;&#23383;&#21270;&#20892;&#19994;&#26045;&#32933;&#25216;&#26415;<span class="ff4">,</span>&#26412;&#25991;&#22522;&#20110;&#24182;&#36816;&#29992;&#20102;&#40120;&#40060;&#31639;&#27861;<span class="ff4">,</span>&#23545;&#24191;&#20041;&#22238;&#24402;&#31070;&#32463;&#32593;&#32476;</div><div class="t m0 x2 h5 y6 ff4 fs1 fc0 sc0 ls0 ws0">(GRNN)<span class="ff3">&#36827;&#34892;&#20102;&#32467;&#21512;&#19982;&#25913;&#36827;</span>,<span class="ff3">&#24182;&#26500;&#24314;&#20316;&#29289;&#24191;&#20041;&#22238;&#24402;&#31070;&#32463;&#32593;&#32476;</span>(GRNN)<span class="ff3">&#32467;&#21512;&#36951;&#20256;&#31639;&#27861;&#30340;&#39044;&#27979;&#26045;&#32933;&#37327;&#27169;&#22411;</span>.<span class="ff3">&#36890;&#36807;&#37319;</span></div><div class="t m0 x2 h5 y7 ff3 fs1 fc0 sc0 ls0 ws0">&#38598;&#24471;&#21040;&#30340;&#25968;&#25454;&#26679;&#26412;&#20250;&#34987;&#29992;&#26469;&#36755;&#20837;<span class="ff4">MATLAB</span>&#36827;&#34892;&#20223;&#30495;&#21644;&#23454;&#39564;&#39564;&#35777;<span class="ff4">.</span>&#20223;&#30495;&#21644;&#23454;&#39564;&#32467;&#26524;&#34920;&#26126;<span class="ff4">,</span>&#25913;&#36827;&#21518;&#30340;&#22522;&#20110;&#40120;&#40060;&#31639;</div><div class="t m0 x2 h5 y8 ff3 fs1 fc0 sc0 ls0 ws0">&#27861;&#30340;<span class="ff4">GRNN</span>&#31070;&#32463;&#32593;&#32476;&#27169;&#22411;&#27604;<span class="ff4">BP</span>&#31070;&#32463;&#32593;&#32476;&#20855;&#26377;&#26356;&#23569;&#30340;&#36755;&#20837;&#21442;&#25968;<span class="ff4">,</span>&#33021;&#26356;&#22909;&#22320;&#21453;&#26144;&#26045;&#32933;&#37327;&#19982;&#35832;&#22810;&#24433;&#21709;&#22240;&#32032;&#20043;&#38388;&#30340;</div><div class="t m0 x2 h5 y9 ff3 fs1 fc0 sc0 ls0 ws0">&#20851;&#31995;<span class="ff4">,</span>&#20855;&#26377;&#23454;&#29992;&#20215;&#20540;<span class="ff4">.</span>&#19988;&#22522;&#20110;&#40120;&#40060;&#31639;&#27861;&#25913;&#36827;&#30340;<span class="ff4">GRNN</span>&#31070;&#32463;&#32593;&#32476;&#31639;&#27861;&#27169;&#22411;&#20154;&#20026;&#35774;&#23450;&#37327;&#26356;&#23569;<span class="ff4">,</span>&#26356;&#20026;&#23458;&#35266;<span class="ff4">,</span>&#39044;&#27979;&#20540;&#19982;</div><div class="t m0 x2 h5 ya ff3 fs1 fc0 sc0 ls0 ws0">&#23454;&#38469;&#20540;&#20043;&#38388;&#30340;&#35823;&#24046;&#26356;&#23567;<span class="ff4">,</span>&#39044;&#27979;&#32467;&#26524;&#26356;&#21152;&#20934;&#30830;<span class="ff4">.</span></div><div class="t m0 x2 h3 yb ff2 fs0 fc0 sc0 ls0 ws0">2 <span class="ff1">&#37096;&#20998;&#20195;&#30721;<span class="_ _1"> </span></span><span class="fc1"> </span></div><div class="t m0 x2 h6 yc ff4 fs1 fc0 sc0 ls0 ws0">%<span class="ff2">________________________</span>_%</div><div class="t m0 x2 h6 yd ff4 fs1 fc0 sc0 ls0 ws0">% Whale Optimization Algorithm (WOA) source codes demo 1.0 %</div><div class="t m0 x2 h6 ye ff4 fs1 fc0 sc0 ls0 ws0">% The Whale Optimization Algorithm</div><div class="t m0 x2 h6 yf ff4 fs1 fc0 sc0 ls0 ws0">function </div><div class="t m0 x2 h6 y10 ff4 fs1 fc0 sc0 ls0 ws0">[Leader_score,Leader_pos,Convergence_curve]=WOA(SearchAgents_no,Max_iter,lb,ub,dim,fobj)</div><div class="t m0 x2 h6 y11 ff4 fs1 fc0 sc0 ls0 ws0">&#58977;</div><div class="t m0 x2 h6 y12 ff4 fs1 fc0 sc0 ls0 ws0">% initialize position vector and score for the leader</div><div class="t m0 x2 h6 y13 ff4 fs1 fc0 sc0 ls0 ws0">Leader_pos=zeros(1,dim);</div><div class="t m0 x2 h6 y14 ff4 fs1 fc0 sc0 ls0 ws0">Leader_score=inf; %change this to -inf for maximization problems</div><div class="t m0 x2 h6 y15 ff4 fs1 fc0 sc0 ls0 ws0">&#58977;</div><div class="t m0 x2 h6 y16 ff4 fs1 fc0 sc0 ls0 ws0">&#58977;</div><div class="t m0 x2 h6 y17 ff4 fs1 fc0 sc0 ls0 ws0">%Initialize the positions of search agents</div><div class="t m0 x2 h6 y18 ff4 fs1 fc0 sc0 ls0 ws0">% Positions=initialization(SearchAgents_no,dim,ub,lb);</div><div class="t m0 x2 h6 y19 ff4 fs1 fc0 sc0 ls0 ws0">Positions=ceil(rand(SearchAgents_no,dim).*(ub-lb)+lb);</div><div class="t m0 x2 h6 y1a ff4 fs1 fc0 sc0 ls0 ws0">&#58977;</div><div class="t m0 x2 h6 y1b ff4 fs1 fc0 sc0 ls0 ws0">Convergence_curve=zeros(1,Max_iter);</div><div class="t m0 x2 h6 y1c ff4 fs1 fc0 sc0 ls0 ws0">&#58977;</div><div class="t m0 x2 h6 y1d ff4 fs1 fc0 sc0 ls0 ws0">t=0;% Loop counter</div><div class="t m0 x2 h6 y1e ff4 fs1 fc0 sc0 ls0 ws0">&#58977;</div><div class="t m0 x2 h6 y1f ff4 fs1 fc0 sc0 ls0 ws0">% Main loop</div><div class="t m0 x2 h6 y20 ff4 fs1 fc0 sc0 ls0 ws0">while t&lt;Max_iter</div><div class="t m0 x2 h6 y21 ff4 fs1 fc0 sc0 ls0 ws0"> for i=1:size(Positions,1)</div><div class="t m0 x2 h6 y22 ff4 fs1 fc0 sc0 ls0 ws0"> </div><div class="t m0 x2 h6 y23 ff4 fs1 fc0 sc0 ls0 ws0"> % Return back the search agents that go beyond the boundaries of the search space</div></div><a class="l" rel='nofollow' onclick='return false;'><div class="d m1"></div></a><a class="l" rel='nofollow' onclick='return false;'><div class="d m1"></div></a><a class="l" rel='nofollow' onclick='return false;'><div class="d m1"></div></a></div><div class="pi" data-data='{"ctm":[1.611792,0.000000,0.000000,1.611792,0.000000,0.000000]}'></div></div> </body> </html>
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