shenjingwangluo.rar_changesss_深度学习_深度学习 识别_神经网络

clc; clear all; close all; %% 读取图像 root='./data'; img=read_train(root); %% 提取特征 img_feature=feature_lattice(img); %% 构造标签 class=10; numberpclass=50; ann_label=zeros(class,numberpclass*class); ann_data=img_feature; for i=1:class for j=numberpclass*(i-1)+1:numberpclass*i ann_label(i,j)=1; end end %% 选定训练集和测试集 k=rand(1,numberpclass*class); [m,n]=sort(k); ntraindata=450; ntestdata=50; train_data=ann_data(:,n(1:ntraindata)); test_data=ann_data(:,n(ntraindata+1:numberpclass*class)); train_label=ann_label(:,n(1:ntraindata)); test_label=ann_label(:,n(ntraindata+1:numberpclass*class)); %% BP神经网络创建，训练和测试 net=network_train(train_data,train_label); predict_label=network_test(test_data,net); %% 正确率计算 [u,v]=find(test_label==1); label=u'; error=label-predict_label; accuracy=size(find(error==0),2)/size(label,2)