Abstract: This paper presents a novel approach to estimating Sigmoid and Tanh activation functions using Artificial Neural Networks (ANN) optimized for homomorphic encryption. The proposed method is ...
Abstract: This work discusses an improved CMOS-based, noise-immune nonlinear sigmoid activation function designed for enhanced neural network performance. The proposed architecture provides a precise, ...
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