has been cited by the following article(s):
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[1]
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Recurrent Neural Network approach for data prediction of a chemical process plant
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2020 |
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[2]
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Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network
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2018 |
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[3]
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Elman Neural Network for Diagnosis of Unbalance in a Rotor-Bearing System
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World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering,
2016 |
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[4]
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Calculating the synthetic efficiency of hydroturbine based on the BP neural network and Elman neural network
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2014 |
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[5]
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Dynamic matrix control based on Elman neural network
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Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on. IEEE,
2013 |
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[6]
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基于突发公共事件的网络舆情研究
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学术论坛,
2013 |
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[1]
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Recurrent Neural Network approach for data prediction of a chemical process plant
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC),
2020
DOI:10.1109/I-SMAC49090.2020.9243465
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[2]
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Real-Time Fault Diagnosis for Gas Turbine Blade Based on Output-Hidden Feedback Elman Neural Network
Journal of Shanghai Jiaotong University (Science),
2018
DOI:10.1007/s12204-018-2028-4
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[3]
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Dynamic matrix control based on Elman neural network
Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC),
2013
DOI:10.1109/MEC.2013.6885223
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[4]
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Calculating the Synthetic Efficiency of Hydroturbine Based on the BP Neural Network and Elman Neural Network
Applied Mechanics and Materials,
2013
DOI:10.4028/www.scientific.net/AMM.457-458.801
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