example33index.m

神经网络VC++代码 人工神经网络原理及仿真实例.

%example33index
%==============
%==============
clc;
clear;
close;
%BP网络实验
Hbp2=figure('color',[0.8 0.8 0.8],'position',[120 120 600 400],'name',...
   'example3.3','numbertitle','off');

%界面说明
uicontrol(Hbp2,'style','text','units','normalized','position',[0.1 0.8 0.8 0.15],...
   'horizontal','center','string','例3. 用于函数逼近的多层感知器（即BP网络）设计','back',[0.8 0.8 0.8],...
   'fontsize',12,'fontWeight','bold');

%框架
uicontrol(Hbp2,'style','frame','units','normalized','position',[0.1 0.1 0.45 0.7],...
   'back',[0.8 0.8 0.8]);

uicontrol(Hbp2,'style','text','units','normalized','position',[0.12 0.68 0.42 0.1],...
   'string','试设计多层感知器来实现下面数组的函数关系：','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
uicontrol(Hbp2,'style','text','units','normalized','position',[0.12 0.58 0.42 0.1],...
   'string','  P=-1:0.1:1;','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
uicontrol(Hbp2,'style','text','units','normalized','position',[0.12 0.51 0.42 0.1],...
   'string','  T=[ -0.96  -0.577  -0.0729  0.377  0.641...','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
uicontrol(Hbp2,'style','text','units','normalized','position',[0.12 0.44 0.42 0.1],...
   'string','0.66  0.461  0.1336  -0.201  -0.434  -0.5  ...','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
uicontrol(Hbp2,'style','text','units','normalized','position',[0.12 0.37 0.42 0.1],...
   'string','-0.393  -0.1647  0.0988  0.3072  0.396  ...','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
uicontrol(Hbp2,'style','text','units','normalized','position',[0.12 0.3 0.42 0.1],...
   'string','0.3449  0.1816  -0.0312  0.2183  -0.3201 ]','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);

%网络参数设置
uicontrol(Hbp2,'style','text','units','normalized','position',[0.58 0.7 0.3 0.1],...
   'string','网络参数设置','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);

uicontrol(Hbp2,'style','text','units','normalized','position',[0.58 0.62 0.2 0.1],...
   'string','最大训练步数：','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
Hbp2_step=uicontrol(Hbp2,'style','edit','units','normalized','position',[0.58 0.62 0.13 0.05],...
   'string','8000','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);

uicontrol(Hbp2,'style','text','units','normalized','position',[0.58 0.50 0.2 0.1],...
   'string','学习速率：','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
Hbp2_learn=uicontrol(Hbp2,'style','edit','units','normalized','position',[0.58 0.50 0.13 0.05],...
   'string','0.01','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);

uicontrol(Hbp2,'style','text','units','normalized','position',[0.58 0.37 0.2 0.1],...
   'string','期望误差：','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
Hbp2_error=uicontrol(Hbp2,'style','edit','units','normalized','position',[0.58 0.37 0.13 0.05],...
   'string','0.02','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);

uicontrol(Hbp2,'style','text','units','normalized','position',[0.58 0.24 0.2 0.1],...
   'string','隐层神经元数：','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12 );
Hbp2_num=uicontrol(Hbp2,'style','edit','units','normalized','position',[0.58 0.24 0.13 0.05],...
   'string','5','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);

uicontrol(Hbp2,'style','text','units','normalized','position',[0.58 0.11 0.2 0.1],...
   'string','网络测试输入：','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12);
Hbp2_test=uicontrol(Hbp2,'style','edit','units','normalized','position',[0.58 0.11 0.07 0.06],...
   'string','0.33','back',[0.8 0.8 0.8],'horizontal','left','fontsize',12,'Max',10);

%按钮
uicontrol(Hbp2,'style','push','units','normalized','position',[0.78 0.7 0.16 0.1],...
   'string','输入输出图示','callback','example33_figure','fontsize',12);

uicontrol(Hbp2,'style','push','units','normalized','position',[0.78 0.57 0.16 0.1],...
   'string','运行程序','fontsize',12,'callback',[...
                                              'S1=get(Hbp2_num,''string'');'...
                                              'max_epoch=get(Hbp2_step,''string'');'...
                                              'err_goal=get(Hbp2_error,''string'');'...
                                              'lr=get(Hbp2_learn,''string'');'...
                                              'example33']);

uicontrol(Hbp2,'style','push','units','normalized','position',[0.78 0.44 0.16 0.1],...
   'string','显示误差曲线','callback','example33_error','fontsize',12);

uicontrol(Hbp2,'style','push','units','normalized','position',[0.665 0.11 0.08 0.06],...
   'string','确 定','fontsize',12,'callback',[...
                                  'input=get(Hbp2_test,''string'');'... 
                                  'example33_test']);


%查看函数
uicontrol(Hbp2,'style','push','units','normalized','position',[0.77 0.25 0.18 0.1],...
   'string','查看网络函数','callback','NNfunctionindex','fontsize',12);

%退出
uicontrol(Hbp2,'style','push','units','normalized','position',[0.77 0.13 0.18 0.1],...
   'string','返       回','callback','close(Hbp2);NNindex12','fontsize',12);
uicontrol(Hbp2,'style','push','units','normalized','position',[0.77 0.01 0.18 0.1],...
   'string','退出系统','callback','close(Hbp2)','fontsize',12);