Optimization of electric vehicle sound package based on LSTM with an adaptive learning rate forest and multiple-level multiple-object method

Haibo Huang,Xiaorong Huang,Weiping Ding,Siwen Zhang,Jian Pang

Mechanical Systems and Signal Processing（2023）

引用 8|浏览7

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摘要

•A knowledge- and data-driven approach is proposed for vehicle acoustic package system.•The proposed ALRF-LSTM can decrease and increase the learning rate adaptively.•The proposed MLMO structure can reduce the complexity of the problem.•The acoustic package is optimized through the knowledge-and data-driven method.

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关键词

Noise, vibration and harshness,Acoustic package,Knowledge- and data-driven,Long short-term memory,Multiple-level multiple-object

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