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mathworks.com
Using Deep Learning and Kalman Filters for Temperature Soft Sensing
See how engineers use MATLAB to create Kalman filters and neural networks for predicting nonmeasurable temperatures. System and component engineers can predict the thermal behaviour of a hydraulic motor by loading a customer usage profile.
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