supported by National Key Research and Development Project (2020YFE0204900);National Natural Science Foundation of China (Grant Numbers 62073193,61873333);Key Research and Development Plan of Shandong Province (Grant Numbers 2019TSLH0301,2021CXGC010204).
Incomplete fault signal characteristics and ease of noise contamination are issues with the current rolling bearing early fault diagnostic methods,making it challenging to ensure the fault diagnosis accuracy and relia...
the Development Fund Project of Information Science and Technology College of Gansu Agricultural University of China(No.GAU-XKFZJJ-2020-02)。
To solve low prediction accuracy of Elman in predicting stock closing price,the model of adaptive boosting(AdaBoost)-improved artificial fish swarm algorithm(AAFSA)-Elman based on complete ensemble em-pirical mode dec...