Fatigue Performance Prediction Study of Al-Li Alloy-based on Experimental and “Shallow” + “Deep” Hybrid Neural Network Methods

ZHAO Dewang¹, JIANG Chao¹, ZHAO Yanguang², YANG Wenping³, FAN Junling⁴

1. School of Mechatronics Engineering, Anhui University of Science and Technology, Huainan 232000;
2. Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024;
3. Department of Aerospace and Architectural Engineering, Harbin Engineering University, Harbin 150001;
4. National Key Laboratory of Strength and Structural Integrity, Aircraft Strength Research Institute, Xi'an 710065