A Time-Varying Reliability Analysis Method Based on Adaptive Surrogate Modeling with Improved Multi-Objective Dwarf Mongoose Optimization Algorithm (Imodmoa) for Optimizing BP Neural Network Parameters

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Názov: A Time-Varying Reliability Analysis Method Based on Adaptive Surrogate Modeling with Improved Multi-Objective Dwarf Mongoose Optimization Algorithm (Imodmoa) for Optimizing BP Neural Network Parameters
Autori: Tongrong Zhang, Haibo Liu, Hongwei Liu, Shufeng Zhang, Weifeng Luo, Wenqiang Pan, Wen Lai
Informácie o vydavateľovi: Elsevier BV, 2025.
Rok vydania: 2025
Druh dokumentu: Article
DOI: 10.2139/ssrn.5208921
Prístupové číslo: edsair.doi...........a9a59543fd1520f36831c9f0586adece
Databáza: OpenAIRE
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DOI:10.2139/ssrn.5208921