Prediction and optimization of pure electric vehicle tire/road structure-borne noise based on knowledge graph and multi-task ResNet

Author:

Huang HaiboORCID,Wang YawenORCID,Wu Jiuhui,Ding WeipingORCID,Pang JianORCID

Publisher

Elsevier BV

Reference40 articles.

1. A review: Knowledge reasoning over knowledge graph;Chen;Expert Systems with Applications,2020

2. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE Transactions on Evolutionary Computation,2002

3. Efficiently identifying task groupings for multi-task learning;Fifty;Advances in Neural Information Processing Systems,2021

4. An experimental and computational investigation of air-borne noise generation mechanisms in tires;Gautam;Journal of Vibration and Control,2019

5. General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T 18697-2002: acoustics - method for measuring vehicle interior noise. Standards Press of China, Beijing, 2002.

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