Open AccessData driven nonlinear dynamical systems identification using multi-step CLDNN
Author(s) -
Qi Teng,
Lei Zhang
Publication year - 2019
Publication title -
aip advances
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.5100558
Subject(s) - computer science , dynamical systems theory , benchmark (surveying) , nonlinear system , identification (biology) , artificial intelligence , deep learning , dynamical system (definition) , convolutional neural network , time series , artificial neural network , nonlinear system identification , chaotic , set (abstract data type) , system identification , machine learning , data modeling , quantum mechanics , botany , physics , geodesy , database , biology , programming language , geography
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