No gradients. No GPUs. Discover how Hamiltonian neural networks use logic and low-precision computing to challenge deep learning’s dominance.
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 ...
Abstract: Graph-based data are very ubiquitous in many real-world scenarios, and it is usually difficult to mine valuable information from the large scale graphs because of traditional sparse and high ...
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