本文介绍了我想要在Matlab中为神经网络使用X-OR代码的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在做有关神经网络的项目.我想要一个关于AND,OR,X-OR或matlab中任何小型应用程序的演示代码.谢谢解决方案
以下是XOR问题的一个简单示例(非线性可分离):
input = [0 0; 0 1; 1 0; 1 1]'; %#'
target = [0 1 1 0]; %# target = xor(input(1,:), input(2,:));
%# create ANN: 1 hidden layer with 2 neurons,
%# and an output layer with a sigmoid transfer function
net = newpr(input, target, 2);
net.divideFcn = ''; %# no data split (training/testing/validation)
net.trainParam.epochs = 50;
net = init(net);
[net,tr] = train(net, input, target);
output = sim(net, input);
[err,cm] = confusion(target,output)
完美的结果:
err =
0
cm =
2 0
0 2
它需要神经网络工具箱
i m doing project on neural network.i want a demo code for AND,OR,X-OR or any SMALL APPLICATION in matlab.thanks
解决方案
Here's a simple example of the XOR problem (non-linearly separable):
input = [0 0; 0 1; 1 0; 1 1]'; %#'
target = [0 1 1 0]; %# target = xor(input(1,:), input(2,:));
%# create ANN: 1 hidden layer with 2 neurons,
%# and an output layer with a sigmoid transfer function
net = newpr(input, target, 2);
net.divideFcn = ''; %# no data split (training/testing/validation)
net.trainParam.epochs = 50;
net = init(net);
[net,tr] = train(net, input, target);
output = sim(net, input);
[err,cm] = confusion(target,output)
with a perfect result of:
err =
0
cm =
2 0
0 2
It requires the Neural Network Toolbox
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