Single Perceptron Learning

版本 1.0.0.0 (5.4 KB) 作者: Suraj Kamya

Without using inbuilt functions from NN Tool. Perceptron learning is implemented.

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更新时间 2013/11/25

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Perceptron Learning Rule is:
% Wnew = Wold + e*p
% e = t - a
% b = bold + e
% Update the weight & bias until it prodeuces correct target for inputs.

% For example:
% And Gate:
% P=[0 0 1 1; 0 1 0 1]; t=[0 0 0 1]; w=[0 0]; b=0; ep=20;
% [w b]=perceplearn(P,t,w,b,ep);

引用格式

Suraj Kamya (2024). Single Perceptron Learning (https://www.mathworks.com/matlabcentral/fileexchange/44470-single-perceptron-learning), MATLAB Central File Exchange. 检索来源 2024/7/27.

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创建方式 R2013a

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AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >

在 Help Center 和 MATLAB Answers 中查找有关 Define Shallow Neural Network Architectures 的更多信息

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版本	已发布	发行说明
1.0.0.0	2013/11/25		下载

Single Perceptron Learning