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Dynamic response and control of neuros based on electromagnetic field theory
Author(s) -
兰州工业学院,
兰州交通大学数理学院
Publication year - 2021
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.70.20201347
Subject(s) - physics , bifurcation , electromagnetic field , lyapunov exponent , electric field , hopf bifurcation , bifurcation theory , magnetic field , biological neuron model , mechanics , transcritical bifurcation , nonlinear system , quantum mechanics , computer science , machine learning , artificial neural network

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