kaushal-py / soft-computing

Implementation of algorithms for soft computing

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