%?采用貝葉斯正則化算法提高?BP?網絡的推廣能力。在本例中，我們采用兩種訓練方法，即?L-M?優化算法
%（trainlm）和貝葉斯正則化算法（trainbr），
%?用以訓練?BP?網絡，使其能夠擬合某一附加有白噪聲的正弦樣本數據。其中，樣本數據可以采用如下
%?MATLAB?語句生成：??
%?輸入矢量：P?=?[-1:0.05:1]；??
%?目標矢量：randn（’seed’78341223）；??
%?T?=?sin（2*pi*P）+0.1*randn（size（P））；??
%?MATLAB?程序如下：??
close?all??
clear?all??
clc??
%?NEWFF——生成一個新的前向神經網絡??
%?TRAIN——對?BP?神經網絡進行訓練?
%?SIM——對?BP?神經網絡進行仿真????
%??定義訓練樣本矢量??
%?P?為輸入矢量??
P?=?[-1:0.05:1];??
%?T?為目標矢量??
randn（‘seed‘78341223）;?T?=?sin（2*pi*P）+0.1*randn（size（P））;??
??
%??創建一個新的前向神經網絡??
net=newff（minmax（P）[201]{‘tansig‘‘purelin‘}）;??
disp（‘1.??L-M?優化算法?TRAINLM‘）;?disp（‘2.??貝葉斯正則化算法?TRAINBR‘）;??
choice=input（‘請選擇訓練算法（12）:‘）;??
if（choice==1）
????%??采用?L-M?優化算法?TRAINLM??
????net.trainFcn=‘trainlm‘;?????????????????
????%??設置訓練參數??????????
????n

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????1676??2011-08-07?09:42??LMD\BP神經網絡.m

?????文件???????2887??2011-08-07?09:49??LMD\BP神經網絡2.m

?????文件???????2394??2011-08-07?09:37??LMD\emd分解關于虛假IMF的判定問題.m

?????文件???????6158??2010-12-14?19:35??LMD\envelope.m

?????文件???????5517??2011-01-15?21:17??LMD\example_lmd.asv

?????文件???????5514??2011-01-15?21:20??LMD\example_lmd.m

?????文件????????117??2010-12-15?21:35??LMD\example_shunpin.m

?????文件???????1246??2010-12-15?23:25??LMD\extrpoint.asv

?????文件???????2551??2011-08-07?10:24??LMD\FunctionChaosPredict.m

?????文件???????1689??2011-01-15?15:19??LMD\hua_baoluo.m

?????文件???????1595??2011-08-07?09:37??LMD\hua_fft.m

?????文件????????687??2011-01-15?08:26??LMD\hua_fft1.m

?????文件???????1126??2011-01-13?16:29??LMD\hua_xihua.m

?????文件?????????58??2010-12-15?23:23??LMD\link.m

?????文件???????8597??2011-08-07?09:33??LMD\lmd.m

?????文件??????20387??2011-07-27?18:58??LMD\lmd.rar

?????文件????????945??2010-12-19?11:39??LMD\lmd1.asv

?????文件????????952??2010-12-19?11:42??LMD\lmd1.m

?????文件???????1221??2011-01-15?22:32??LMD\lmd2.asv

?????文件???????1182??2011-08-09?21:38??LMD\lmd2.m

?????文件???????2035??2011-08-29?01:48??LMD\lmd2_example.asv

?????文件???????2035??2011-08-29?01:51??LMD\lmd2_example.m

?????文件???????2306??2011-08-07?09:56??LMD\LS-SVM回歸模板.m

?????文件???????1914??2010-12-16?10:45??LMD\move.asv

?????文件???????1914??2010-12-16?10:46??LMD\move.m

?????文件?????????96??2011-08-09?21:43??LMD\nengliang.m

?????文件????????185??2010-12-15?23:44??LMD\pos.m

?????文件???????1216??2010-12-15?23:43??LMD\position.m

?????文件???????1146??2010-12-16?11:00??LMD\shunpin.asv

?????文件???????1157??2010-12-16?11:04??LMD\shunpin.m

............此處省略12個文件信息