文件名称:SHENGJING
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2014-08-21
- 文件大小:
- 6.81mb
- 下载次数:
- 0次
- 提 供 者:
- 齐**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
本代码涵盖了所有的神经网络的一个综合的仿真代码,非常的有用。-The code covers all of the neural network, a comprehensive simulation code, very useful.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SHENGJING
.........\MATLAB神经网络30个案例分析
.........\..........................\源程序
.........\..........................\......\案例1 BP神经网络的数据分类-语音特征信号分类
.........\..........................\......\...........................................\BP.m
.........\..........................\......\...........................................\BPDLX.m
.........\..........................\......\...........................................\data1.mat
.........\..........................\......\...........................................\data2.mat
.........\..........................\......\...........................................\data3.mat
.........\..........................\......\...........................................\data4.mat
.........\..........................\......\案例10 离散Hopfield神经网络的分类——高校科研能力评价
.........\..........................\......\.....................................................\chapter10.m
.........\..........................\......\.....................................................\class.mat
.........\..........................\......\.....................................................\sim.mat
.........\..........................\......\.....................................................\stdlib.m
.........\..........................\......\.....................................................\test.m
.........\..........................\......\案例11 连续Hopfield神经网络的优化-旅行商问题优化计算
.........\..........................\......\....................................................\city_location.mat
.........\..........................\......\....................................................\diff_u.m
.........\..........................\......\....................................................\energy.m
.........\..........................\......\....................................................\main.m
.........\..........................\......\案例12 SVM神经网络的数据分类预测-葡萄酒种类识别
.........\..........................\......\...............................................\chapter12.m
.........\..........................\......\...............................................\chapter12_wine.mat
.........\..........................\......\...............................................\html
.........\..........................\......\...............................................\....\chapter12.html
.........\..........................\......\...............................................\....\chapter12.png
.........\..........................\......\...............................................\....\chapter12_01.png
.........\..........................\......\...............................................\....\chapter12_02.png
.........\..........................\......\...............................................\....\chapter12_03.png
.........\..........................\......\案例13 SVM神经网络中的参数优化---提升分类器性能
.........\..........................\......\...............................................\chapter13_GA.m
.........\..........................\......\...............................................\chapter13_GridSearch.m
.........\..........................\......\...............................................\chapter13_PSO.m
.........\..........................\......\...............................................\chapter13_wine.mat
.........\..........................\......\...............................................\html
.........\..........................\......\...............................................\....\chapter13.html
.........\..........................\......\...............................................\....\chapter13.png
.........\..........................\......\...............................................\....\chapter13_01.png
.........\..........................\......\...............................................\....\chapter13_02.png
.........\..........................\......\...............................................\....\chapter13_03.png
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