Tag: ML
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Kalman-Based Target Trajectory Tracking Performance QC Analysis

Photo by Kelly on Pexels. Table of Contents The Kalman Filter Intuition Formulation of a Problem Linear Position-Time Path Parabolic Position-Time Path Extended Kalman Filter (EKF) Tracking the Bike’s Path Unscented Kalman Filter (UKF) 1. Prediction Step 2. Correction Step Industry Application in Dynamic Positioning System Smoothed Position and Speed Estimates Radar EKF Trajectory Conclusions…
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Keras LSTM Stock Prediction
Despite the vast amount of historical stock data, the high noise to signal ratio and varied market conditions cause inadequate stock price predictions. A solution to these challenges is Long Short Term Memory (LSTM). LSTMs offer a range of adjustable parameters without the necessity for fine-tuning, and efficiently handle sequential data.