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