Abstract: This paper presents a novel VLSI architecture design of the Sigmoid activation function using Chebyshev’s polynomial approximation for efficient hardware realization. The Sigmoid activation ...
Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...
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