Single Perceptron Learning

Without using inbuilt functions from NN Tool. Perceptron learning is implemented.
2.7K Downloads
Updated 25 Nov 2013

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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);

Cite As

Suraj Kamya (2026). Single Perceptron Learning (https://uk.mathworks.com/matlabcentral/fileexchange/44470-single-perceptron-learning), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
1.0.0.0