偏离 发表于 2025-3-26 22:18:34
Recurrent Neural Networks with Grid Data Quantization for Modeling LHC Superconducting Magnets Behaverconducting magnets. High resolution data available in Post Mortem database was used to train a set of models and compare their performance with respect to various hyper-parameters such as input data quantization and number of cells. A novel approach to signal level quantization allowed to reduce aGene408 发表于 2025-3-27 03:47:08
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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/i/image/465733.jpg使尴尬 发表于 2025-3-27 23:47:44
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Metaheuristics in Physical Processes Optimizationpared evolutionary algorithm (EA) - to find the approximate solution of the Wessinger’s equation, which is a nonlinear, first order, ordinary differential equation. Both methods were compared as an ANN training tool. Then, application of this method in selected physical processes is discussed.