📄 rbf.asv
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function varargout = RBF(varargin)
% RBF M-file for RBF.fig
% RBF, by itself, creates a new RBF or raises the existing
% singleton*.
%
% H = RBF returns the handle to a new RBF or the handle to
% the existing singleton*.
%
% RBF('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in RBF.M with the given input arguments.
%
% RBF('Property','Value',...) creates a new RBF or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before RBF_OpeningFunction gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to RBF_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Copyright 2002-2003 The MathWorks, Inc.
% Edit the above text to modify the response to help RBF
% Last Modified by GUIDE v2.5 26-May-2006 21:30:34
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @RBF_OpeningFcn, ...
'gui_OutputFcn', @RBF_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before RBF is made visible.
function RBF_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to RBF (see VARARGIN)
% Choose default command line output for RBF
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes RBF wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = RBF_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes on button press in PB_T.
function PB_T_Callback(hObject, eventdata, handles)
% hObject handle to PB_T (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
user_data=get(findobj('Tag','PB_T'),'userdata');
switch user_data.chose
case 1
P=[-1:0.1:1];
T=[-0.9602 0.5770,0.0729 0.3771 0.6405 0.6600 0.4609 0.1336...
-0.2013 -0.4344 -0.5 -0.3930 0.1647 0.0988 0.3072 ...
0.3960 0.3449 0.1816 -0.0312 -0.2189 -0.3201];
plot(P,T,'r*');
str1=sprintf('>> P=[-1:0.1:1];\n>> T=[-0.9602 0.5770,0.0729 0.3771 0.6405 0.6600 0.4609 0.1336...');
str2=sprintf('\n>> -0.2013 -0.4344 -0.5 -0.3930 0.1647 0.0988 0.3072 ...\n>> 0.3960 0.3449 0.1816 -0.0312 -0.2189 -0.3201];');
str3=sprintf('\n>> plot(P,T,''r*'');');
str=strcat(str1,str2,str3);
set(findobj('Tag','edit1'),'String',str);
str='P为输入向量,T为输出向量。';
set(findobj('Tag','edit2'),'String',str);
user_data.chose=user_data.chose+1;
user_data.P=P;
user_data.T=T;
set(findobj('Tag','PB_T'),'userdata',user_data);
set(findobj('Tag','text2'),'String','step1');
set(hObject,'String','Next>>');
case 2
T=user_data.T;
P=user_data.P;
for i=1:5
net=newrbe(P,T,i);
y(i,:)=sim(net,P);
end
str=sprintf('\n>> for i=1:5\n>> net=newrbe(P,T,i);\n>> y(i,:)=sim(net,P);\n>> end');
set(findobj('Tag','edit1'),'String',str);
str1='代码中我们用RHF网络精确创建函数newrbe,创建了一个准确的RBF网络。由于径向基函数的分布密度可以';
str2='影响网络的精度,因此,这里将其设定为从1到5,五个精度,观察它们对网络性能的影响';
str=strcat(str1,str2);
set(findobj('Tag','edit2'),'String',str);
user_data.chose=user_data.chose+1;
user_data.net=net;
user_data.y=y;
set(findobj('Tag','PB_T'),'userdata',user_data);
set(findobj('Tag','text2'),'String','step2');
case 3
T=user_data.T;
P=user_data.P;
net=user_data.net;
y=user_data.y;
hold off
plot(1:21,y(1,:)-T);
hold on
plot(1:21,y(2,:)-T,'+');
hold on
plot(1:21,y(3,:)-T,'.');
hold on
plot(1:21,y(4,:)-T,'r--');
hold on
plot(1:21,y(5,:)-T,'g-');
hold off
str1=sprintf('>> plot(1:21,y(1,:)-T);\n>> hold on\n>> plot(1:21,y(2,:)-T,''+'');\n>> hold on');
str2=sprintf('\n>> plot(1:21,y(3,:)-T);\n>> hold on\n>> plot(1:21,y(4,:)-T,''+'');\n>> hold on\n>> plot(1:21,y(5,:)-T,''g-'');');
str=strcat(str1,str2);
set(findobj('Tag','edit1'),'String',str);
str='绘制误差曲线';
set(findobj('Tag','edit2'),'String',str);
user_data.chose=user_data.chose+1;
set(findobj('Tag','PB_T'),'userdata',user_data);
set(findobj('Tag','text2'),'String','step3');
case 4
set(hObject,'String','Start');
set(findobj('Tag','edit2'),'String','请按‘开始‘按钮启动演示。若有不明的函数可查看‘帮助’。');
hold off
str1='如果要实现同一个功能,径向基的神经元个数可能要比前向BP网络要多,但是径向基网络所';
str2='需要的训练时间却比BP网络要少。径向基函数网络是由输入层、隐含层和输出层构成的三层前向网络。';
str=strcat(str1,str2);
set(findobj('Tag','edit1'),'String',str);
set(findobj('Tag','text2'),'String','step 0');
temp_data.chose=1;
set(hObject,'userdata',temp_data);
end
function edit1_Callback(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit1 as text
% str2double(get(hObject,'String')) returns contents of edit1 as a double
% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc
set(hObject,'BackgroundColor','white');
else
set(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end
% --- Executes during object creation, after setting all properties.
function PB_T_CreateFcn(hObject, eventdata, handles)
% hObject handle to PB_T (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
user_data.chose=1;
set(findobj('Tag','PB_T'),'userdata',user_data);
function edit2_Callback(hObject, eventdata, handles)
% hObject handle to edit2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit2 as text
% str2double(get(hObject,'String')) returns contents of edit2 as a double
% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc
set(hObject,'BackgroundColor','white');
else
set(hObject,'BackgroundColor',get(0,'defaultUicontrolBackgroundColor'));
end
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
close;
SysGui;
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