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 a

Gene408 发表于 2025-3-27 03:47:08

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Enervate 发表于 2025-3-27 09:04:39

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opalescence 发表于 2025-3-27 11:37:55

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FIG 发表于 2025-3-27 14:45:56

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indicate 发表于 2025-3-27 20:21:33

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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Trabeculoplasty 发表于 2025-3-28 02:59:50

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notification 发表于 2025-3-28 07:39:51

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收养 发表于 2025-3-28 12:15:19

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.
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查看完整版本: Titlebook: Information Technology, Systems Research, and Computational Physics; Piotr Kulczycki,Janusz Kacprzyk,Rafal Wisniewski Conference proceedin