Single Perceptron Learning
                    Versione 1.0.0.0 (5,39 KB) da  
                  Suraj Kamya
                
                
                  Without using inbuilt functions from NN Tool. Perceptron learning is implemented.
                
                  
              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);
Cita come
Suraj Kamya (2025). Single Perceptron Learning (https://it.mathworks.com/matlabcentral/fileexchange/44470-single-perceptron-learning), MATLAB Central File Exchange. Recuperato .
Compatibilità della release di MATLAB
              Creato con
              R2013a
            
            
              Compatibile con qualsiasi release
            
          Compatibilità della piattaforma
Windows macOS LinuxCategorie
- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >
 
      Scopri di più su Define Shallow Neural Network Architectures in Help Center e MATLAB Answers
    
  Tag
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Scopri Live Editor
Crea script con codice, output e testo formattato in un unico documento eseguibile.
| Versione | Pubblicato | Note della release | |
|---|---|---|---|
| 1.0.0.0 | 
