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Learn how to solve inverse problems using Physics-Informed Neural Networks (PINNs) in this 19-minute lecture from the 'Inverse Methods in Heat Transfer' course by NPTEL-NOC IITM. Discover techniques for incorporating unknown parameters within the PINN framework and training models to simultaneously estimate these parameters while solving partial differential equations. Focus specifically on applications in unsteady conduction problems, with detailed explanations of parameter estimation methodologies. Gain practical knowledge that can be applied toward earning certification credits recognized by Indian Universities under UGC and AICTE guidelines.
