文件名称:zifushibie
介绍说明－－下载内容均来自于网络，请自行研究使用
A=alphabet(:,1)+rand(35,1) alphabet是已定义好的字符特征矩阵
A2=sim(netn,A) netn是前面已训练好的神经网络
A2=compet(A2)
answer=find(compet(A2)==1)
plotchar(alphabet(:,answer)) -A = alphabet (:, 1)+ Rand (35,1) alphabet is the definition of good character characteristic matrix A2 = sim (netn, A) netn that have already trained neural network A2 = compet (A2) answer = find (compet (A2) == 1) plotchar (alphabet (:, answer))
A2=sim(netn,A) netn是前面已训练好的神经网络
A2=compet(A2)
answer=find(compet(A2)==1)
plotchar(alphabet(:,answer)) -A = alphabet (:, 1)+ Rand (35,1) alphabet is the definition of good character characteristic matrix A2 = sim (netn, A) netn that have already trained neural network A2 = compet (A2) answer = find (compet (A2) == 1) plotchar (alphabet (:, answer))
(系统自动生成,下载前可以参看下载内容)
下载文件列表
毕业设计
........\main01.asv
........\main01.fig
........\main01.m
........\nflag.mat
........\nnet.mat
........\nnetn.mat
........\noise.mat
........\noise1.mat
........\nstr.mat
........\main01.asv
........\main01.fig
........\main01.m
........\nflag.mat
........\nnet.mat
........\nnetn.mat
........\noise.mat
........\noise1.mat
........\nstr.mat