array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(31) " 屈桢深)\Lecture 1\Thumbs.db" [2]=> string(5) " 6144" [3]=> string(21) " 2007-05-27 11:14:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(35) " 屈桢深)\Lecture 1\神经元.ppt" [2]=> string(7) " 544256" [3]=> string(21) " 2007-03-04 22:45:1 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(35) " 屈桢深)\Lecture 1\第一课.ppt" [2]=> string(7) " 221184" [3]=> string(21) " 2008-03-09 09:39:5 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(32) " 屈桢深)\lecture 10\Thumbs.db" [2]=> string(5) " 5120" [3]=> string(21) " 2007-05-27 11:14:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(36) " 屈桢深)\lecture 10\第十课.ppt" [2]=> string(7) " 397824" [3]=> string(21) " 2008-04-06 11:20:5 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(50) " 屈桢深)\lecture 11\NN逆模型辨识示例.ppt" [2]=> string(7) " 101376" [3]=> string(21) " 2007-04-15 21:09:2 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(50) " 屈桢深)\lecture 11\NN非线性辨识示例.ppt" [2]=> string(6) " 81920" [3]=> string(21) " 2008-04-12 18:04:2 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(59) " 屈桢深)\lecture 11\NN非线性逆模型辨识示例.ppt" [2]=> string(6) " 68608" [3]=> string(21) " 2007-04-15 22:48:2 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(32) " 屈桢深)\lecture 11\Thumbs.db" [2]=> string(5) " 8704" [3]=> string(21) " 2007-05-27 11:14:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(39) " 屈桢深)\lecture 11\第十一课.ppt" [2]=> string(7) " 998912" [3]=> string(21) " 2008-04-22 16:37:4 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(57) " 屈桢深)\lecture 11\线性确定系统辨识示例.ppt" [2]=> string(7) " 112128" [3]=> string(21) " 2007-04-14 22:33:3 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(57) " 屈桢深)\lecture 11\线性随机系统辨识示例.ppt" [2]=> string(7) " 114688" [3]=> string(21) " 2007-04-14 22:35:1 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(88) " 屈桢深)\lecture 13\Adaptive Control Using Neural Networks and Approximate Models.pdf" [2]=> string(7) " 420894" [3]=> string(21) " 2007-04-19 19:37:1 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(32) " 屈桢深)\lecture 13\Thumbs.db" [2]=> string(5) " 5120" [3]=> string(21) " 2007-05-27 11:14:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(36) " 屈桢深)\lecture 13\神经PID.ppt" [2]=> string(6) " 81408" [3]=> string(21) " 2003-02-11 16:33:4 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(51) " 屈桢深)\lecture 13\神经网络内模控制.ppt" [2]=> string(7) " 116736" [3]=> string(21) " 2008-04-20 10:04:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(39) " 屈桢深)\lecture 13\第十三课.ppt" [2]=> string(8) " 2288128" [3]=> string(21) " 2008-04-22 17:10:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(45) " 屈桢深)\lecture 13\线性内模控制.ppt" [2]=> string(6) " 88576" [3]=> string(21) " 2008-04-20 10:06:5 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(39) " 屈桢深)\lecture 15\第十五课.ppt" [2]=> string(6) " 18944" [3]=> string(21) " 2008-04-22 16:46:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(35) " 屈桢深)\lecture 16\alphabet.rar" [2]=> string(5) " 2830" [3]=> string(21) " 2007-04-23 12:10:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(31) " 屈桢深)\lecture 16\appcr1.m" [2]=> string(5) " 4929" [3]=> string(21) " 2005-11-14 19:14:5 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(29) " 屈桢深)\lecture 16\char.m" [2]=> string(5) " 2188" [3]=> string(21) " 2007-04-23 15:08:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(29) " 屈桢深)\lecture 16\crab.m" [2]=> string(5) " 1589" [3]=> string(21) " 2007-04-22 23:07:2 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(32) " 屈桢深)\lecture 16\Thumbs.db" [2]=> string(5) " 5120" [3]=> string(21) " 2007-05-27 11:14:0 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(30) " 屈桢深)\lecture 16\yeast.m" [2]=> string(5) " 1493" [3]=> string(21) " 2007-04-22 22:28:4 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(42) " 屈桢深)\lecture 16\主成份分析.doc" [2]=> string(7) " 360448" [3]=> string(21) " 2008-04-29 17:20:2 " } array(4) { [0]=> string(49) "人工智能与神经网络\神经网络课件(08" [1]=> string(39) " 屈桢深)\lecture 16\第十六课.ppt" [2]=> string(7) " 130560" [3]=> string(21) " 2008-05-03 12:18:4 " } ANN 联合开发网 - pudn.com
ANN

所属分类:人工智能/神经网络/深度学习
开发工具:matlab
文件大小:10585KB
下载次数:62
上传日期:2009-04-05 10:21:18
上 传 者zy1
说明:  哈工大的神经网络课件,内含源代码,很实用,欢迎下载
(HIT the neural network software, including source code, it is useful, please download)

文件列表:
人工智能与神经网络\Artificial.Neural.Network_钟义信\Artificial.Neural.Network_程序\AINET121.ZIP (1813855, 2008-04-20)
人工智能与神经网络\Artificial.Neural.Network_钟义信\Artificial.Neural.Network_程序\BP.RAR (41525, 2008-04-20)
人工智能与神经网络\Artificial.Neural.Network_钟义信\Artificial.Neural.Network_程序\BP041396.ZIP (308151, 2008-04-20)
人工智能与神经网络\Artificial.Neural.Network_钟义信\Artificial.Neural.Network_程序\BPNN132U.ZIP (73206, 2008-04-20)
人工智能与神经网络\Artificial.Neural.Network_钟义信\Artificial.Neural.Network_程序\QWKNET95.RAR (236206, 2008-04-20)
人工智能与神经网络\Artificial.Neural.Network_钟义信\课件\AI-NN-1,2,3,4.ppt (64512, 2008-09-05)
人工智能与神经网络\Artificial.Neural.Network_钟义信\课件\AI-NN-1.ppt (69632, 2008-09-05)
人工智能与神经网络\Artificial.Neural.Network_钟义信\课件\AI-NN-5-1.ppt (317952, 2008-09-05)
人工智能与神经网络\Artificial.Neural.Network_钟义信\课件\AI-NN-5-2
,6.ppt (241152, 2008-09-05)
人工智能与神经网络\Artificial.Neural.Network_钟义信\课件\AI-NN-5-2.ppt (13824, 2008-09-12)
人工智能与神经网络\Artificial.Neural.Network_钟义信\课件\AI-NN-5.ppt (136192, 2008-09-05)
人工智能与神经网络\Artificial.Neural.Network_钟义信\课件\AI-NN-8.ppt (172544, 2008-09-05)
人工智能与神经网络\Artificial.Neural.Network_钟义信\课件\AI-NN-9.ppt (304640, 2008-09-05)
... ...

近期下载者

相关文件


收藏者