Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
Abstract: This paper presents a new method for enhancing Alternating Current Power Flow (ACPF) analysis. The method integrates the Newton-Raphson (NR) method with Enhanced-Gradient Descent (GD) and ...
The core challenge in application of the ANN framework is selecting appropriate hyperparameters. The gradient descent algorithm is commonly used to optimize these hyperparameters by moving them in the ...
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