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Published in 2021 at "Energy"
DOI: 10.1016/j.energy.2021.120152
Abstract: Abstract This paper focuses on optimal energy sharing between the two sources i.e., the internal combustion engine and the battery-powered electric motor in a hybrid electric vehicle (HEV). It is necessary that these sources operate…
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Keywords:
neural network;
logic elman;
energy;
elman neural ... See more keywords
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Published in 2020 at "Journal of energy storage"
DOI: 10.1016/j.est.2020.101789
Abstract: Abstract The state of charge (SOC) is a parameter to describe the remaining charge of lithium-ion batteries in electric vehicles. It is a key problem to be solved in the field of electric vehicles. In…
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Keywords:
charge;
neural network;
elman neural;
lithium ion ... See more keywords
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Published in 2023 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3186610
Abstract: In this article, an attempt has been made to propose an improved version of the classical Elman neural network (ENN) and its application is presented to identify the unknown dynamics of time-delayed nonlinear plants. The…
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Keywords:
neural network;
time;
elman neural;
delayed nonlinear ... See more keywords
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Published in 2023 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/09544070231174118
Abstract: Reliable and precise temperature prediction is one of the most crucial challenges for improving battery performance and preventing thermal runaway. This paper uses a highly adaptive Elman neural network (Elman-NN) to construct a temperature prediction…
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Keywords:
neural network;
elman neural;
temperature;
temperature prediction ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0266741
Abstract: Controlling persons are the ultimate decision-makers of listed companies. Their illegalities have impacts on investors’ wealth, firm development, and capital market’s quality. Against this backdrop, we provide a quantitative analysis of the short-term stock price…
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Keywords:
elman neural;
stock price;
listed companies;
controlling persons ... See more keywords
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Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9142782
Abstract: The critical frequency foF2 of the ionosphere F2 layer is one of the most important parameters of the ionosphere. Based on the Elman neural network (ENN), this paper constructs a single station forecasting model to…
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Keywords:
neural network;
fof2;
based elman;
model ... See more keywords