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基于RSJSO_BiLSTM的高精度降雨预测模型研究
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作者 陈亮 沈吉 《兵工自动化》 北大核心 2025年第11期91-96,共6页
为提高降雨预测的准确性和效率,提出一种基于双向长短期记忆网络(bi-directional long short-term memory,BiLSTM)和鼠群水母群优化算法(rat swarm and jellyfish search optimizer,RSJSO)的降雨预测模型。利用缺失数据插补和特征融合... 为提高降雨预测的准确性和效率,提出一种基于双向长短期记忆网络(bi-directional long short-term memory,BiLSTM)和鼠群水母群优化算法(rat swarm and jellyfish search optimizer,RSJSO)的降雨预测模型。利用缺失数据插补和特征融合技术对降雨数据进行预处理,通过弦距离和基于骑手优化算法的神经网络(rider optimization algorithm-based neural network,RideNN)优化特征提取过程,并采用过采样技术增强数据集。实验结果表明:该模型在多种评估指标上表现突出,能够为相关决策提供可靠的精细化降雨信息支撑,有效增强复杂场景下的突发事件响应能力。 展开更多
关键词 深度学习 降雨预测 BiLSTM RideNN jso
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An Improved JSO and Its Application in Spreader Optimization of Large Span Corridor Bridge
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作者 Shude Fu Xinye Wu +3 位作者 Wenjie Wang Yixin Hu Zhengke Li Feng Jiang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第3期2357-2382,共26页
In this paper,given the shortcomings of jellyfish search algorithmwith low search ability in the early stage and easy to fall into local optimal solution,this paper introduces adaptive weight function and elite strate... In this paper,given the shortcomings of jellyfish search algorithmwith low search ability in the early stage and easy to fall into local optimal solution,this paper introduces adaptive weight function and elite strategy,improving the global search scope in the early stage and the ability to refine the local development in the later stage.In the numerical study,the benchmark problem of dimensional optimization with a 10-bar truss structure and simultaneous dimensional shape optimization with a 15-bar truss structure is adopted,and the corresponding penalty method is used for constraint treatment.The test results show that the improved jellyfish search algorithm can provide better truss sections as well as weights.Because when the steel main truss of the large-span covered bridge is lifted,the site is limited and the large lifting equipment cannot enter the site,and the original structure does not meet the problem of stress concentration and large deformation of the bolt group,so the spreader is used to lift,and the improved jellyfish search algorithm is introduced into the design optimization of the spreader.The results show that the improved jellyfish algorithm can efficiently and accurately find out the optimal shape and weight of the spreader,and throughMidas Civil simulation,the spreader used canmeet the requirements of weight and safety. 展开更多
关键词 Truss optimization improved jso size optimization shape optimization
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