Henon Series Predictor

This project is a Python application using Tkinter for the graphical user interface. The app predicts the Henon Series, provides insights into the Takens algorithm, network learning, and visualizes predictions.

Table of Contents

• Overview
• Features
• Installation

Overview

The Henon Series Predictor application allows users to:

• Generate the first 500 values of the Henon series and graph Yn as a function of Xn.
• Visualize the architecture for Takens Algorithm.
• Experiment with network learning by adjusting the number of hidden units.
• Make predictions based on previously trained networks.

Features

• Generate Henon Series: Calculates and graphs the first 500 values.
• Takens Algorithm: Allows visualization of the Takens embedding technique and eigenvalue analysis.
• Network Learning: Simulates network learning based on the number of hidden units.
• Predictions: Displays predictions of future values based on the trained network.

Installation

Prerequisites

• Python 3.x
• Required packages: tkinter, numpy, matplotlib

Clone the Repository

git clone https://github.com/your-username/HenonSeriesPredictor.git
cd HenonSeriesPredictor