Optimization of Vehicle Structures based on Improved Deep Forest and Grey Wolf Optimizer
Author:
Affiliation:
1. Hunan University,State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Changsha,China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10134761/10135179/10135183.pdf?arnumber=10135183
Reference42 articles.
1. Crashworthiness optimization of VRB thin-walled structures under manufacturing constraints by the eHCA-VRB algorithm
2. Model Simplification of Deep Random Forest for Real-Time Applications of Various Sensor Data
3. Multi-objective optimization of crashworthiness of vehicle front longitudinal beam
4. Improvement of the Deep Forest Classifier by a Set of Neural Networks
5. Improve the frontal crashworthiness of vehicle through the design of front rail
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