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

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

The Neurons organises themselves to identify clusters in traing Patterns

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

Widrow-Hoff-delta rule based learning: