首页| JavaScript| HTML/CSS| Matlab| PHP| Python| Java| C/C++/VC++| C#| ASP| 其他|
购买积分 购买会员 激活码充值

您现在的位置是:虫虫源码 > 其他 > 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...

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...

资 源 简 介

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))

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
VIP VIP
0.180689s