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Heavy-load train model based on RBF neural network refers to the adaptive brake control strategy
Author(s) -
Xinyi Yang,
Yunshui Zheng
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2303/1/012088
Subject(s) - artificial neural network , brake , engine braking , control theory (sociology) , computer science , controller (irrigation) , process (computing) , adaptive control , track (disk drive) , nonlinear system , braking distance , control engineering , automotive engineering , engineering , control (management) , artificial intelligence , physics , agronomy , quantum mechanics , biology , operating system

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