Search Results for author: Lesley Tan

Found 2 papers, 0 papers with code

Enhanced DeepONet for Modeling Partial Differential Operators Considering Multiple Input Functions

no code implementations17 Feb 2022 Lesley Tan, Liang Chen

We propose new Enhanced DeepONet or EDeepONet high-level neural network structure, in which two input functions are represented by two branch DNN sub-networks, which are then connected with output truck network via inner product to generate the output of the whole neural network.

Physics-Enforced Modeling for Insertion Loss of Transmission Lines by Deep Neural Networks

no code implementations27 Jul 2021 Liang Chen, Lesley Tan

In the second method, a third-order polynomial expression is defined first, which ensures positiveness, to approximate the insertion loss, then DeepONet neural network structure, which was proposed recently for function and system modeling, was employed to model the coefficients of polynomials.

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