Neural Network using MATLAB
Use graphical tools to apply neural networks to data fitting, pattern recognition, clustering, and time series problems.
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This video demonstrates how you can estimate position using a Kalman filter in Simulink. Using MATLAB and Simulink, you can implement line...
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This book covers the design, implementation and automatic tuning of PID control systems with operational constraints. It provides students... -
This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon... -
Walk through the steps of training the neural network with voltage, current, and temperature measurements and SOC as a response. Once the ne...
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Learn about the experimental process involved in training and testing the neural network, including descriptions of the kind of battery cell...
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Introduction: Have you ever wondered how to ensure the safety and reliability of complex systems such as aircraft controls? In this blog, w...
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What you'll learn Apply the full deep learning workflow to real-world projects like detecting parking signs Retrain common classificati... -
Introduction: Have you ever wondered how to efficiently communicate with and control various test instruments for hardware design verificat...
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The eighth edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text... -
MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for s...
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