Tag: ML
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Kalman-Based Target Trajectory Tracking Performance QC Analysis
Photo by Kelly on Pexels. Based upon the previous study, we continue evaluating performance of the Kalman Filter (KF) by walking through some numerical tests. In the presence of uncertainty, one of the most difficult issues for tracking in control systems is to estimate the accuracy and precision of hidden variables. KF is considered as…
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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.
