Open AccessRecurrent Neural Network Based Driving Cycle Development for Light Duty Vehicles in Beijing
Author(s) -
Duoguan Qiu,
Yuan Li,
Dapeng Qiao
Publication year - 2018
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2018.11.026
Subject(s) - duty cycle , driving cycle , beijing , computer science , data set , artificial neural network , cluster analysis , set (abstract data type) , feature extraction , markov chain , data mining , recurrent neural network , artificial intelligence , autoregressive model , machine learning , power (physics) , engineering , statistics , mathematics , voltage , physics , electric vehicle , quantum mechanics , china , political science , law , programming language , electrical engineering
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