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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

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