Single Perceptron Learning
Without using inbuilt functions from NN Tool. Perceptron learning is implemented.
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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://se.mathworks.com/matlabcentral/fileexchange/44470-single-perceptron-learning), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (5.39 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
