Soft Computing

Implementation of algorithms for soft computing. It consists of

1. Artificial Neural Networks
2. Fuzzy logic
3. Genetic algorithms

This repository contains all the labwork that I did during my Bachelors course on Soft computing.

Lab 2 : McCulloch-Pitts Neuron

Create a simulation of the MP neuron model for AND, NAND and OR gates. link

Lab 3 : Perceptron Network

Implement a Perceptron Network to recognize patterns given from a input file. link

Example Pattern

* * *
. * .
* * *
Output = 1

* * *
* * *
* . .
Output = -1

The perceptron should output '1' on seeing the first pattern, and output '-1' after seeing the second pattern. Example pattern file