Neural-Network-Algorithoms

This repository consists of codes regarding different Neural Network algorithom implementation from scratch Using C++.

Genetic-Algorithm Based Neural Net

Genetic Algorithom[selection->crossover->mutation] based learning implementation

Multilayer Perceptron

Back propagation learning algorithm hasbeen used to make the Program learn to classify patterns

Kohonen Self Organising Algorithm

The Neurons organises themselves to identify clusters in traing Patterns

Hopfiled Network

The Netrork remembers Patterns.
If a segment of previously learnt pattern is given as input it is able to retrive the whole pattern

FUZZY Controller

VISUALISATION

Single Layer Perceptron

Widrow-Hoff-delta rule based learning: