Novel interpretable learning approaches for dynamical system with applications
Most dynamical systems in real-life applications are usually nonlinear and nonstationary, such as biomechanical systems, neuroscience, healthcare, economics, and engineering. Nowadays, the availability of data makes it possible to investigate and discover the hidden dynamics...
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| Online Access: | http://hdl.handle.net/2047/D20416567 |