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Volumn 351, Issue 7, 2014, Pages 3847-3864

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

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; DNA; PARETO PRINCIPLE; PROCESS CONTROL; RECURRENT NEURAL NETWORKS;

EID: 84902277917     PISSN: 00160032     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfranklin.2013.03.014     Document Type: Article
Times cited : (14)

References (29)
  • 1
    • 1542677574 scopus 로고    scopus 로고
    • New bipolar electrocoagulation-electroflotation process for the treatment of laundry wastewater
    • J. Ge, J. Qu, P. Lei, and H. Liu New bipolar electrocoagulation- electroflotation process for the treatment of laundry wastewater Separation and Purification Technology 36 2004 33 39
    • (2004) Separation and Purification Technology , vol.36 , pp. 33-39
    • Ge, J.1    Qu, J.2    Lei, P.3    Liu, H.4
  • 4
    • 10444232686 scopus 로고    scopus 로고
    • Neural network approximation of a nonlinear model predictive controller applied to a pH neutralization process
    • B.M. Åkesson, H.T. Toivonen, J.B. Waller, and R.H. Nyström Neural network approximation of a nonlinear model predictive controller applied to a pH neutralization process Computers and Chemical Engineering 29 2005 323 335
    • (2005) Computers and Chemical Engineering , vol.29 , pp. 323-335
    • Åkesson, B.M.1    Toivonen, H.T.2    Waller, J.B.3    Nyström, R.H.4
  • 5
    • 79959824416 scopus 로고    scopus 로고
    • Dynamic modeling and nonlinear predictive control based on partitioned model and nonlinear optimization
    • R. Zhang, A. Xue, and S. Wang Dynamic modeling and nonlinear predictive control based on partitioned model and nonlinear optimization Industrial and Engineering Chemistry Research 50 2011 8110 8121
    • (2011) Industrial and Engineering Chemistry Research , vol.50 , pp. 8110-8121
    • Zhang, R.1    Xue, A.2    Wang, S.3
  • 6
    • 81155128671 scopus 로고    scopus 로고
    • A new approach to fuzzy estimation of Takagi-Sugeno model and its applications to optimal control for nonlinear systems
    • B.M. Al-Hadithi, A. Jiménez, and F. Matía A new approach to fuzzy estimation of Takagi-Sugeno model and its applications to optimal control for nonlinear systems Applied Soft Computing 12 2012 280 290
    • (2012) Applied Soft Computing , vol.12 , pp. 280-290
    • Al-Hadithi, B.M.1    Jiménez, A.2    Matía, F.3
  • 7
    • 79961028873 scopus 로고    scopus 로고
    • Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network
    • J.A. Abdalla, and R. Hawileh Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network Journal of the Franklin Institute 348 2011 1393 1403
    • (2011) Journal of the Franklin Institute , vol.348 , pp. 1393-1403
    • Abdalla, J.A.1    Hawileh, R.2
  • 8
    • 77649270112 scopus 로고    scopus 로고
    • Modeling switched circuits based on wavelet decomposition and neural networks
    • D. Hanbay, I. Turkoglu, and Y. Demir Modeling switched circuits based on wavelet decomposition and neural networks Journal of the Franklin Institute 347 2010 607 617
    • (2010) Journal of the Franklin Institute , vol.347 , pp. 607-617
    • Hanbay, D.1    Turkoglu, I.2    Demir, Y.3
  • 9
    • 84859706398 scopus 로고    scopus 로고
    • Reliable fuzzy control for active suspension systems with actuator delay and fault
    • H. Li, H. Liu, H. Gao, and P. Shi Reliable fuzzy control for active suspension systems with actuator delay and fault IEEE Transactions on Fuzzy Systems 20 2012 342 357
    • (2012) IEEE Transactions on Fuzzy Systems , vol.20 , pp. 342-357
    • Li, H.1    Liu, H.2    Gao, H.3    Shi, P.4
  • 10
    • 79960004108 scopus 로고    scopus 로고
    • Parameter identification of TSK neuro-fuzzy models
    • A. Banakara, and M.F. Azeem Parameter identification of TSK neuro-fuzzy models Fuzzy Sets and Systems 179 2011 62 82
    • (2011) Fuzzy Sets and Systems , vol.179 , pp. 62-82
    • Banakara, A.1    Azeem, M.F.2
  • 11
    • 70649089285 scopus 로고    scopus 로고
    • Knowledge-based parameter identification of TSK fuzzy models
    • A. Tewari, and M. Macdonald Knowledge-based parameter identification of TSK fuzzy models Applied Soft Computing 10 2010 481 489
    • (2010) Applied Soft Computing , vol.10 , pp. 481-489
    • Tewari, A.1    Macdonald, M.2
  • 12
    • 0141501530 scopus 로고    scopus 로고
    • Neuro-fuzzy methods for nonlinear system identification
    • R. Babuška, and H. Verbruggen Neuro-fuzzy methods for nonlinear system identification Annual Reviews in Control 27 2003 73 85
    • (2003) Annual Reviews in Control , vol.27 , pp. 73-85
    • Babuška, R.1    Verbruggen, H.2
  • 13
    • 84864058771 scopus 로고    scopus 로고
    • Online affine model identification of nonlinear processes using a new adaptive neuro-fuzzy approach
    • K. Salahshoor, M. Hamzehnejad, and S. Zakeri Online affine model identification of nonlinear processes using a new adaptive neuro-fuzzy approach Applied Mathematical Modelling 36 2012 5534 5554
    • (2012) Applied Mathematical Modelling , vol.36 , pp. 5534-5554
    • Salahshoor, K.1    Hamzehnejad, M.2    Zakeri, S.3
  • 14
    • 79951721961 scopus 로고    scopus 로고
    • Identification, prediction and detection of the process fault in a cement rotary kiln by locally linear neuro-fuzzy technique
    • M. Sadeghian, and A. Fatehi Identification, prediction and detection of the process fault in a cement rotary kiln by locally linear neuro-fuzzy technique Journal of Process Control 21 2011 302 308
    • (2011) Journal of Process Control , vol.21 , pp. 302-308
    • Sadeghian, M.1    Fatehi, A.2
  • 15
    • 72149126839 scopus 로고    scopus 로고
    • Neuro-fuzzy relational systems for nonlinear approximation and prediction
    • R. Scherer Neuro-fuzzy relational systems for nonlinear approximation and prediction Nonlinear Analysis: Theory, Methods and Applications 71 2009 1420 1425
    • (2009) Nonlinear Analysis: Theory, Methods and Applications , vol.71 , pp. 1420-1425
    • Scherer, R.1
  • 16
    • 61849172400 scopus 로고    scopus 로고
    • Mean square exponential stability of stochastic fuzzy Hopfield neural networks with discrete and distributed time-varying delays
    • H. Li, B. Chen, C. Lin, and Q. Zhou Mean square exponential stability of stochastic fuzzy Hopfield neural networks with discrete and distributed time-varying delays Neurocomputing 72 2009 2017 2023
    • (2009) Neurocomputing , vol.72 , pp. 2017-2023
    • Li, H.1    Chen, B.2    Lin, C.3    Zhou, Q.4
  • 19
    • 0030085373 scopus 로고    scopus 로고
    • Modeling pH neutralization processes using fuzzy-neural approaches
    • J. Nie, A.P. Loh, and C.C. Hang Modeling pH neutralization processes using fuzzy-neural approaches Fuzzy Sets and Systems 78 1996 5 22
    • (1996) Fuzzy Sets and Systems , vol.78 , pp. 5-22
    • Nie, J.1    Loh, A.P.2    Hang, C.C.3
  • 20
    • 84947926042 scopus 로고    scopus 로고
    • A fast elitist nondominated sorting genetic algorithm for multi-objective optimization: NSGA-II
    • K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan A fast elitist nondominated sorting genetic algorithm for multi-objective optimization: NSGA-II In Parallel Problem Solving from Nature VI 2000 849 858
    • (2000) Parallel Problem Solving from Nature , vol.VI , pp. 849-858
    • Deb, K.1    Agrawal, S.2    Pratap, A.3    Meyarivan, T.4
  • 22
    • 33847276077 scopus 로고    scopus 로고
    • Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II
    • D. Mandal, S.K. Pal, and P. Saha Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II Journal of Materials Processing Technology 186 2007 154 162
    • (2007) Journal of Materials Processing Technology , vol.186 , pp. 154-162
    • Mandal, D.1    Pal, S.K.2    Saha, P.3
  • 23
    • 34548487252 scopus 로고    scopus 로고
    • DNA computing based RNA genetic algorithm with applications in parameter estimation of chemical engineering processes
    • J. Tao, and N. Wang DNA computing based RNA genetic algorithm with applications in parameter estimation of chemical engineering processes Computers and Chemical Engineering 31 2007 1602 1618
    • (2007) Computers and Chemical Engineering , vol.31 , pp. 1602-1618
    • Tao, J.1    Wang, N.2
  • 24
    • 67349201716 scopus 로고    scopus 로고
    • A DNA based genetic algorithm for parameter estimation in the hydrogenation reaction
    • X. Chen, and N. Wang A DNA based genetic algorithm for parameter estimation in the hydrogenation reaction Chemical Engineering Journal 150 2009 527 535
    • (2009) Chemical Engineering Journal , vol.150 , pp. 527-535
    • Chen, X.1    Wang, N.2
  • 26
    • 79651471334 scopus 로고    scopus 로고
    • A protein inspired RNA genetic algorithm for parameter estimation in hydrocracking of heavy oil
    • K. Wang, and N. Wang A protein inspired RNA genetic algorithm for parameter estimation in hydrocracking of heavy oil Chemical Engineering Journal 167 2011 228 239
    • (2011) Chemical Engineering Journal , vol.167 , pp. 228-239
    • Wang, K.1    Wang, N.2
  • 28
    • 0024914230 scopus 로고    scopus 로고
    • Modelling and self-tuning control of a multivariable pH process, Part I: Modelling and multiloop control
    • R.C. Hall, D.E. Seborg, Modelling and self-tuning control of a multivariable pH process, Part I: Modelling and multiloop control, in: Proceedings of the 1989 American Control Conference, Pittsburgh, pp. 1822-1827.
    • Proceedings of the 1989 American Control Conference, Pittsburgh , pp. 1822-1827
    • Hall, R.C.1    Seborg, D.E.2
  • 29
    • 70749122155 scopus 로고    scopus 로고
    • Multi-objective optimization based FRNN and its application to pH control process
    • J. Tao, N. Wang, and X. Chen Multi-objective optimization based FRNN and its application to pH control process CIESC Journal 60 2009 2820 2826
    • (2009) CIESC Journal , vol.60 , pp. 2820-2826
    • Tao, J.1    Wang, N.2    Chen, X.3


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