ANN Practical

This repository contains basic implementations of Artificial Neural Network (ANN) concepts, including the McCulloch-Pitts neuron model, simple perceptron, and linear separability.

Project Structure

ANN-Practical/
├── McCulloch_pitt_model.py
├── simple_preceptron.py
├── linear_seperable.py
├── README.md
├── LICENSE
└── .gitignore

Features

• McCulloch-Pitts Neuron Model
• Simple Perceptron Implementation
• Linear Separability Demonstration
• Basic ANN Concepts

Prerequisites

• Python 3.10+
• NumPy
• Matplotlib (if used)

Installation

Clone the repository:

git clone https://github.com/ashislife/ANN-practical-.git

Navigate to the project directory:

cd ANN-practical-

Install the required dependencies:

pip install numpy matplotlib

Usage

Run any example individually:

python McCulloch_pitt_model.py

python simple_preceptron.py

python linear_seperable.py

Files

File	Description
McCulloch_pitt_model.py	Implements the McCulloch-Pitts neuron model.
simple_preceptron.py	Demonstrates the implementation of a simple perceptron.
linear_seperable.py	Demonstrates linear separability using a perceptron model.

License

This project is licensed under the MIT License.