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performance of high power vacuum electron device for ANN modeling

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DataCite Commons2024-08-20 更新2025-04-16 收录
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https://ieee-dataport.org/documents/performance-high-power-vacuum-electron-device-ann-modeling
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The dataset used was derived from a frequency tunable high power vacuum electron devices (HPVED) optimization task using a simple genetic algorithm (SGA). This device has the topology with 44 optimization parameters and 2 tuning parameters. Each of the two tuning parameters has 6 and 7 discrete adjustment values, respectively. The population size is set to 54, and each individual requires 42 simulations to evaluate its tunability. The algorithm iterated 13 times, resulting in a dataset containing 708 individuals and 29,736 sets of parameters, of which 589 individuals and 24,738 parameter sets were unique. 
提供机构:
IEEE DataPort
创建时间:
2024-08-20
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