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优化深度学习模型,使用改进的BWO进行TEC预测

Yi Chen1, Haijun Liu1, Weifeng Shan1

  • 1Institute of Intelligent Emergency Information Processing, Institute of Disaster Prevention, Langfang 065201, China.

Biomimetics (Basel, Switzerland)
|September 27, 2024
PubMed
概括

优化深度学习超参数对于准确预测整个电离层电子含量 (TEC) 至关重要. 一个新的火辅助多策略贝卢加优化 (FAMBWO) 算法改进了超参数调整,提高了TEC预测性能.

关键词:
在TEC预测预测.贝卢加的优化优化 贝卢加的优化深度学习模型优化优化超参数优化超参数优化群众情报是一个群众情报.

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