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Optimizing Physics-Informed Neural Networks with hybrid activation functions: A comparative study on improving residual loss and accuracy using partial differential equations

Husna Zafar, Ahmad, Xiangyang Liu, Muhammad Noveel Sadiq

2024Chaos Solitons & Fractals12 citationsDOI

Topics & Concepts

ResidualArtificial neural networkApplied mathematicsPartial differential equationMathematicsDifferential (mechanical device)Differential equationComputer scienceControl theory (sociology)Mathematical optimizationAlgorithmPhysicsArtificial intelligenceMathematical analysisThermodynamicsControl (management)Model Reduction and Neural NetworksNuclear Engineering Thermal-HydraulicsNon-Destructive Testing Techniques
Optimizing Physics-Informed Neural Networks with hybrid activation functions: A comparative study on improving residual loss and accuracy using partial differential equations | Litcius