登录
首页 » matlab » 43-cases-code-for-neural-network-

43-cases-code-for-neural-network-

于 2014-07-08 发布 文件大小:13563KB
0 114
下载积分: 1 下载次数: 113

代码说明:

  该压缩包中有史峰等人编写的《MATLAB神经网络43个案例分析》的全部代码及数据。对于MATLAB的初学者很有帮助。(The archive has written the history of Feng et al "MATLAB neural network 43 case studies" of all the code and data. MATLAB is helpful for beginners.)

文件列表:

《MATLAB 神经网络43个案例分析》源代码&数据
..........................................\《MATLAB 神经网络43个案例分析》目录.docx,176168,2013-08-20
..........................................\第10章 离散Hopfield神经网络的分类——高校科研能力评价
..........................................\.....................................................\chapter10.m,1452,2013-09-02
..........................................\.....................................................\class.mat,443,2009-10-06
..........................................\.....................................................\Readme.txt,453,2013-09-02
..........................................\.....................................................\sim.mat,465,2009-10-06
..........................................\.....................................................\stdlib.m,249,2013-09-02
..........................................\.....................................................\test.m,807,2013-09-02
..........................................\第11章 连续Hopfield神经网络的优化——旅行商问题优化计算
..........................................\.......................................................\city_location.mat,232,2009-09-21
..........................................\.......................................................\diff_u.m,217,2009-12-21
..........................................\.......................................................\energy.m,247,2010-01-30
..........................................\.......................................................\main.m,2674,2013-09-02
..........................................\.......................................................\Readme.txt,434,2013-09-02
..........................................\第12章 初始SVM分类与回归
..........................................\........................\Chapter_ClassifyRegressUsingLibsvm.m,2555,2013-08-18
..........................................\........................\heart_scale.mat,28904,2005-03-22
..........................................\........................\html
..........................................\........................\....\Chapter_ClassifyRegressUsingLibsvm.html,14895,2013-08-18


..........................................\第13章 LIBSVM参数实例详解
..........................................\.........................\Chapter_ModelDecryption.m,1308,2013-08-18
..........................................\.........................\heart_scale.mat,28904,2005-03-22
..........................................\.........................\html
..........................................\.........................\....\Chapter_ModelDecryption.html,8933,2013-08-18
..........................................\第14章 基于SVM的数据分类预测——意大利葡萄酒种类识别
..........................................\....................................................\chapter_WineClass.m,2429,2013-08-18
..........................................\....................................................\chapter_WineClass.mat,20168,2010-01-30
..........................................\....................................................\html
..........................................\....................................................\....\chapter_WineClass.html,13636,2013-08-18




..........................................\第15章 SVM的参数优化——如何更好的提升分类器的性能
..........................................\..................................................\chapter_GA.m,6450,2013-08-18
..........................................\..................................................\chapter_GridSearch.m,6042,2013-08-18
..........................................\..................................................\chapter_PSO.m,8453,2013-08-18
..........................................\..................................................\html
..........................................\..................................................\....\chapter_GA.html,25844,2013-08-18





..........................................\..................................................\....\chapter_GridSearch.html,25305,2013-08-18
..........................................\..................................................\....\chapter_GridSearch.png,3346,2013-08-18
..........................................\..................................................\....\chapter_GridSearch_01.png,6819,2013-08-18
..........................................\..................................................\....\chapter_GridSearch_02.png,10865,2013-08-18
..........................................\..................................................\....\chapter_GridSearch_03.png,12638,2013-08-18
..........................................\..................................................\....\chapter_GridSearch_04.png,16328,2013-08-18
..........................................\..................................................\....\chapter_GridSearch_05.png,21970,2013-08-18
..........................................\..................................................\....\chapter_GridSearch_06.png,15673,2013-08-18
..........................................\..................................................\....\chapter_GridSearch_07.png,9098,2013-08-18
..........................................\..................................................\....\chapter_PSO.html,32779,2013-08-18
..........................................\..................................................\....\chapter_PSO.png,3330,2013-08-18
..........................................\..................................................\....\chapter_PSO_01.png,6819,2013-08-18
..........................................\..................................................\....\chapter_PSO_02.png,10865,2013-08-18
..........................................\..................................................\....\chapter_PSO_03.png,13951,2013-08-18
..........................................\..................................................\....\chapter_PSO_04.png,9095,2013-08-18
..........................................\..................................................\wine.mat,20168,2010-01-30
..........................................\第16章 基于SVM的回归预测分析——上证指数开盘指数预测
..........................................\....................................................\chapter_sh.m,5527,2013-10-19
..........................................\....................................................\chapter_sh.mat,219976,2010-01-30
..........................................\....................................................\html
..........................................\....................................................\....\chapter_sh.html,24872,2013-08-18





..........................................\....................................................\....\chapter_sh_05.png,22389,2013-08-18
..........................................\....................................................\....\chapter_sh_06.png,17509,2013-08-18
..........................................\....................................................\....\chapter_sh_07.png,12441,2013-08-18
..........................................\....................................................\....\chapter_sh_08.png,12113,2013-08-18
..........................................\....................................................\....\chapter_sh_09.png,10681,2013-08-18
..........................................\第17章 基于SVM的信息粒化时序回归预测——上证指数开盘指数变化趋势和变化空间预测
..........................................\..............................................................................\chapter_FIGsh.m,9772,2013-08-18
..........................................\..............................................................................\chapter_sh.mat,256680,2010-01-30
..........................................\..............................................................................\FIG_D.m,6456,2009-03-21
..........................................\..............................................................................\html
..........................................\..............................................................................\....\chapter_FIGsh.html,41176,2013-08-18





..........................................\..............................................................................\....\chapter_FIGsh_05.png,24304,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_06.png,12990,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_07.png,13284,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_08.png,11396,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_09.png,17434,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_10.png,23764,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_11.png,12273,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_12.png,14398,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_13.png,11684,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_14.png,16538,2013-08-18
..........................................\..............................................................................\....\chapter_FIGsh_15.png,21487,2013-08-18

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • EFIE
    说明:  矩量法解电场双位方程求线天线表面电流分布,方向图及辐射阻抗(Moment Method Solution of the electric field equation for a double-wire antenna surface current distribution, radiation pattern and impedance)
    2008-10-31 16:07:40下载
    积分:1
  • C_BLER_optimize
    系统容量与误块率的统计函数,适合在仿真平台中使用(system capacity and block error rate statistics function, suitable for the use of simulation platform)
    2007-01-10 16:24:03下载
    积分:1
  • 1
    说明:  讲解数字PID很好的电子书,里面有现成的matlab源码,比较实用。(Digital PID on a good e-books, there are ready-made source matlab, more practical.)
    2008-04-23 10:40:38下载
    积分:1
  • local_histeq
    local histogram maching
    2010-12-16 23:55:18下载
    积分:1
  • five-level-diode-clamp-inverter-dynamic-voltage-r
    five level diode clamp inverter dynamic voltage restorerfive level diode clamp inverter dynamic voltage restorerfive level diode clamp inverter dynamic voltage restorer
    2013-10-25 03:39:28下载
    积分:1
  • white_noise
    说明:  %利用乘同余法写的白噪声程序 %对于辨识有一定帮助 %相关方法可以参照乘同余法原理( Use by the same method to write more than the white noise process for the identification of definite help in correlation method can refer to law by the principle of congruence)
    2006-04-02 10:35:51下载
    积分:1
  • flysky1000
    互信息医学配准原代码!主要用于医学处理中!采用MATLAB来处理两幅图像的配准问题(medical information among the original registration code! Mainly for the purposes of medical treatment. MATLAB to deal with the two images The registration issue)
    2007-04-03 11:00:36下载
    积分:1
  • canny
    Canny edge detection
    2014-11-18 17:27:50下载
    积分:1
  • cvx-toolbox
    压缩感知算法工具箱,可以将压缩感知用于想用的任何算法。(The Compression Sensing Algorithm Toolbox allows you to use compression awareness for any algorithm you want to use.)
    2016-12-14 10:22:26下载
    积分:1
  • PSO
    说明:  通过粒子群算法实现pid参数的自整定。内容涵盖matlab程序和SIMUILINK仿真。已调试。(PID parameter tuning of particle swarm optimization)
    2018-12-30 14:53:31下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 42今日下载