散文網(wǎng) » 生活 »日常 » 【手寫數(shù)字識別】基于RBM神經(jīng)網(wǎng)絡(luò)手寫數(shù)字識別含Matlab源碼

【手寫數(shù)字識別】基于RBM神經(jīng)網(wǎng)絡(luò)手寫數(shù)字識別含Matlab源碼

2022-04-03 11:55 作者:Matlab工程師 0人讀過 | 我要投稿

1 簡介

2 部分代碼

function varargout = core_Test_gui2(varargin)% CORE_TEST_GUI2 MATLAB code for core_Test_gui2.fig% ? ? ?CORE_TEST_GUI2, by itself, creates a new CORE_TEST_GUI2 or raises the existing% ? ? ?singleton*.%% ? ? ?H = CORE_TEST_GUI2 returns the handle to a new CORE_TEST_GUI2 or the handle to% ? ? ?the existing singleton*.%% ? ? ?CORE_TEST_GUI2('CALLBACK',hObject,eventData,handles,...) calls the local% ? ? ?function named CALLBACK in CORE_TEST_GUI2.M with the given input arguments.%% ? ? ?CORE_TEST_GUI2('Property','Value',...) creates a new CORE_TEST_GUI2 or raises the% ? ? ?existing singleton*. ?Starting from the left, property value pairs are% ? ? ?applied to the GUI before core_Test_gui2_OpeningFcn gets called. ?An% ? ? ?unrecognized property name or invalid value makes property application% ? ? ?stop. ?All inputs are passed to core_Test_gui2_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% Edit the above text to modify the response to help core_Test_gui2% Last Modified by GUIDE v2.5 17-Apr-2021 07:50:14% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name', ? ? ? mfilename, ... ? ? ? ? ? ? ? ? ? 'gui_Singleton', ?gui_Singleton, ... ? ? ? ? ? ? ? ? ? 'gui_OpeningFcn', @core_Test_gui2_OpeningFcn, ... ? ? ? ? ? ? ? ? ? 'gui_OutputFcn', ?@core_Test_gui2_OutputFcn, ... ? ? ? ? ? ? ? ? ? 'gui_LayoutFcn', ?[] , ... ? ? ? ? ? ? ? ? ? 'gui_Callback', ? []);if nargin && ischar(varargin{1}) ? ?gui_State.gui_Callback = str2func(varargin{1});endif 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 core_Test_gui2 is made visible.function core_Test_gui2_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 core_Test_gui2 (see VARARGIN)% Choose default command line output for core_Test_gui2handles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes core_Test_gui2 wait for user response (see UIRESUME)% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.function varargout = core_Test_gui2_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 structurevarargout{1} = handles.output;function result_Callback(hObject, eventdata, handles)% hObject ? ?handle to result (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 result as text% ? ? ? ?str2double(get(hObject,'String')) returns contents of result as a double% --- Executes during object creation, after setting all properties.function result_CreateFcn(hObject, eventdata, handles)% hObject ? ?handle to result (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 && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) ? ?set(hObject,'BackgroundColor','white');end% --- Executes on button press in classify.function classify_Callback(hObject, eventdata, handles)% hObject ? ?handle to classify (see GCBO)% eventdata ?reserved - to be defined in a future version of MATLAB% handles ? ?structure with handles and user data (see GUIDATA) data = handles.data; ?data_new=[data data]; ?load linear_classify_weights2;% w1為(2*22*22+1)*256,w_class為(256+1)*10 ?N=1; %每次只有1幅圖像測試 ?%下面的計算方式通過矩陣拼湊，把偏置的計算也融入矩陣中 ?dataprobs = [data_new ones(N,1)]; %融入偏置后dataprobs為1*(2*22*22+1) ?w1probs = (dataprobs*w1)>0; %未融入偏置時w1probs為1*256 ?w1probs = [w1probs ?ones(N,1)];%融入偏置后，w1probs為1*(256+1) ?targetout = exp(w1probs*w_class);%輸出層為0*10 ?%將輸出層輸出100*10，除以每行的總和以求得歸一化比值 ?targetout = targetout./repmat(sum(targetout,2),1,10); ?%比較每行中的最大產(chǎn)生10*1的列向量，I每行最大值，J每行最大值序號， ?%代表識別的數(shù)字結(jié)果，1-10（分別代表數(shù)字0-9） ?[I J]=max(targetout,[],2); ?classify_result_str = num2str(J-1);%識別的結(jié)果轉(zhuǎn)換為字符串 ?set(handles.result,'String',classify_result_str); ?clear data data_new dataprobs w1probs targetout w1 w_class;% --- Executes on button press in select.function select_Callback(hObject, eventdata, handles)% hObject ? ?handle to select (see GCBO)% eventdata ?reserved - to be defined in a future version of MATLAB% handles ? ?structure with handles and user data (see GUIDATA)load testbatchdata;%加載測試圖像集，100*(22*22)*100batch_index = randint(1,1,[1,100]);%產(chǎn)生隨機批次號，1-100image_index = randint(1,1,[1,100]);%產(chǎn)生該批圖像中的隨機測試圖像號，1-100data = testbatchdata(image_index,:,batch_index);%獲取隨機的一副測試圖像，1*(22*22)clear testbatchdata;image_disp = zeros(22,22);image_disp = reshape(data,22,22);imagesc(image_disp',[0 1]);%顯示欲測試圖像set(handles.result,'String','');handles.data = data;guidata(hObject,handles);