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Modeling of pH neutralization process using fuzzy recurrent neural network and DNA based NSGA-II

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Publication:2017298
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DOI10.1016/j.jfranklin.2013.03.014zbMath1290.93117OpenAlexW2064898698MaRDI QIDQ2017298

Dongliang Peng, Xiao Chen, An-Ke Xue, Yun-Fei Guo

Publication date: 25 June 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.03.014

zbMATH Keywords

Pareto-optimal fitnessTakagi-Sugeno fuzzy recurrent neural network (T-S FRNN)


Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20)


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Cites Work

  • Parameter identification of TSK neuro-fuzzy models
  • Neuro-fuzzy relational systems for nonlinear approximation and prediction
  • Modeling switched circuits based on wavelet decomposition and neural networks
  • Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network
  • A fuzzy-neural multi-model for nonlinear systems identification and control
  • Online affine model identification of nonlinear processes using a new adaptive neuro-fuzzy approach
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