文件名称:NNCODE
- 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：
- 2012-11-26
- 文件大小：
- 11.9mb
- 下载次数：
- 0次
- 提 供 者：
- jac***
- 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
神经网络与数据挖掘源码,rbf\反向神经网络\支持向量机\复杂网络\小世界网络-nn and datamining code
(系统自动生成,下载前可以参看下载内容)
下载文件列表
NNCODE
......\Chap14Bayesian
......\..............\observe.m
......\..............\particle_filter.m
......\..............\process_model.m
......\..............\resampling.m
......\..............\simulation.m
......\Chap15EKF
......\.........\Data
......\.........\....\C.mat
......\.........\....\generateData.asv
......\.........\....\generateData.m
......\.........\....\gridseq.mat
......\.........\....\nCor_ekf.mat
......\.........\....\seq.mat
......\.........\EKF
......\.........\...\15.17.eps
......\.........\...\15.17.fig
......\.........\...\15.17_2.fig
......\.........\...\EKF.m
......\.........\...\Main.m
......\.........\...\MstEq.m
......\.........\...\feedfwd.m
......\.........\...\findTrueClass.m
......\.........\...\findgrad.m
......\.........\...\generateData.m
......\.........\...\plotDecisionBdy.m
......\.........\...\seq.mat
......\Chap8KHA
......\........\KHA.eps
......\........\KHA.fig
......\........\KHAtesting.m
......\........\KHAtraining.m
......\........\KernelforKHA.m
......\........\ToyExampleforKHA.m
......\NN_GHA.m
......\NN_GHA_A.m
......\NN_LMS.m
......\NN_LMS_AR.m
......\NN_LMS_curve.m
......\NN_LS.m
......\NN_LS_regularization.m
......\NN_MLP_Lorenz.m
......\NN_MLP_classifier.m
......\NN_OM_RLS.m
......\NN_Perceptron.m
......\NN_RBF_LMS.m
......\NN_RBF_RLS.m
......\NN_SSL_LapRLS.m
......\NN_SVM.m
......\NN_SVM_twist_fist.m
......\Thumbs.db
......\c.mat
......\figures
......\.......\1.6_1.fig
......\.......\1.6_2.fig
......\.......\10.31_1.fig
......\.......\10.31_2.fig
......\.......\2.8.fig
......\.......\2.9_1.fig
......\.......\2.9_2.fig
......\.......\2.9_3.fig
......\.......\2.9_4.fig
......\.......\3.10_1.fig
......\.......\3.10_2.fig
......\.......\3.10_3.fig
......\.......\3.11_1.fig
......\.......\3.11_2.fig
......\.......\3.12.fig
......\.......\4.16_1.fig
......\.......\4.16_2.fig
......\.......\4.19(a).fig
......\.......\4.19(b).fig
......\.......\5.10_1.fig
......\.......\5.10_2.fig
......\.......\5.10_3.fig
......\.......\5.10_4.fig
......\.......\5.10_5.fig
......\.......\5.10_6.fig
......\.......\5.10_7.fig
......\.......\5.10_8.fig
......\.......\5.10_9.fig
......\.......\5.11(a)_1.fig
......\.......\5.11(a)_2.fig
......\.......\5.11(b)_1.fig
......\.......\5.11(b)_2.fig
......\.......\6.24.fig
......\.......\6.25_1.fig
......\.......\6.25_2.fig
......\.......\6.25_3.fig
......\.......\7.20(a)_1.fig
......\.......\7.20(a)_2.fig
......\.......\7.20(a)_3.fig
......\.......\7.20(b)_1.fig
......\.......\7.20(b)_2.fig
......\.......\7.20(b)_3.fig
......\.......\8.17(a).fig
......\.......\8.17(b).fig
......\.......\eps
......\.......\...\1.6_1.fig.eps