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Generate a dataset of hundreds of millions of chaotic double pendulum simulations at various angles, lengths, and simulation times. Then use Deep Learning with pytorch train a Neural Network to predict where the pendulums will be.
AI-powered chaos detection using Simple Harmonic Motion (SHM) & Double Pendulum examples! Compare a Neural Network (NN) with the Lyapunov exponent method to classify chaotic vs. non-chaotic systems. Features Deep Learning, SHAP explainability, F1-score, precision, recall, and stunning visualizations!
A simple Python program, which allows the automatic symbolic creation of the Lagrange equations for pendulums and similar objects. Furthermore a numerical solver is used in order to approximate the solutions.