메뉴 건너뛰기




Volumn 12, Issue 10, 2012, Pages 3132-3140

Enhanced combination modeling method for combustion efficiency in coal-fired boilers

Author keywords

Adaptive neuro fuzzy inference system; Artificial bee colony algorithm; Coal fired boiler; Combination modeling; Extreme learning machine

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL BEE COLONY ALGORITHMS; BOILER EFFICIENCY; COMBINATION MODELS; COMBUSTION EFFICIENCIES; EXTREME LEARNING MACHINE; GENERALIZATION ABILITY; GENERALIZATION PERFORMANCE; GLOBAL MODELS; INPUT WEIGHTS; MAPPING RELATION; MODEL VALIDITY; OPERATIONAL CONDITIONS; OUTPUT ERRORS; STABILITY MODELS; THREE COMPONENT;

EID: 84864758579     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.06.016     Document Type: Article
Times cited : (23)

References (40)
  • 1
    • 84755161717 scopus 로고    scopus 로고
    • Performance improvement and reduction of emissions from coal-fired utility boilers in China
    • E.H. Chui, H. Gao, A.J. Majeski, and G.K. Lee Performance improvement and reduction of emissions from coal-fired utility boilers in China Energy for Sustainable Development 14 2010 206 212
    • (2010) Energy for Sustainable Development , vol.14 , pp. 206-212
    • Chui, E.H.1    Gao, H.2    Majeski, A.J.3    Lee, G.K.4
  • 2
    • 0142156058 scopus 로고    scopus 로고
    • Modeling and optimization of the NOx emission characteristics of a tangentially fired boiler with artificial neural networks
    • DOI 10.1016/j.energy.2003.08.004
    • H. Zhou, K. Cen, and J. Fan Modeling and optimization of the NOx emission characteristics of a tangentially firedboiler with artificial neural networks Energy 29 2004 167 183 (Pubitemid 37312615)
    • (2004) Energy , vol.29 , Issue.1 , pp. 167-183
    • Zhou, H.1    Cen, K.2    Fan, J.3
  • 3
    • 77955272137 scopus 로고    scopus 로고
    • Estimation of NOx emissions from coal-fired utility boilers
    • E.H. Chui, and H. Gao Estimation of NOx emissions from coal-fired utility boilers Fuel 89 2010 2977 2984
    • (2010) Fuel , vol.89 , pp. 2977-2984
    • Chui, E.H.1    Gao, H.2
  • 4
    • 80052271121 scopus 로고    scopus 로고
    • ANN-GA based optimization of a high ash coal-fired supercritical power plant
    • M.V.J.J. Suresh, K.S. Reddy, and Ajit Kumar Kolar ANN-GA based optimization of a high ash coal-fired supercritical power plant Applied Energy 88 2011 4867 4873
    • (2011) Applied Energy , vol.88 , pp. 4867-4873
    • Suresh, M.V.J.J.1    Reddy, K.S.2    Kumar Kolar, A.3
  • 5
    • 63449105144 scopus 로고    scopus 로고
    • NOx emission and thermal efficiency of a 300 MWe utility boiler retrofitted by air staging
    • S. Li, T. Xu, S. Hui, and X. Wei NOx emission and thermal efficiency of a 300 MWe utility boiler retrofitted by air staging Applied Energy 86 2009 1797 1803
    • (2009) Applied Energy , vol.86 , pp. 1797-1803
    • Li, S.1    Xu, T.2    Hui, S.3    Wei, X.4
  • 6
    • 78751615750 scopus 로고    scopus 로고
    • Soft-computing models for soot-blowing optimization in coal-fired utility boilers
    • B. Peña, E. Teruel, and L.I. Díez Soft-computing models for soot-blowing optimization in coal-fired utility boilers Applied Soft Computing 11 2011 1657 1668
    • (2011) Applied Soft Computing , vol.11 , pp. 1657-1668
    • Peña, B.1    Teruel, E.2    Díez, L.I.3
  • 7
    • 77957919731 scopus 로고    scopus 로고
    • Incremental modeling with rough and fine tuning method
    • S.-S. Kim, and K.-C. Kwak Incremental modeling with rough and fine tuning method Applied Soft Computing 11 2011 585 591
    • (2011) Applied Soft Computing , vol.11 , pp. 585-591
    • Kim, S.-S.1    Kwak, K.-C.2
  • 8
    • 77957308800 scopus 로고    scopus 로고
    • Modeling and prediction of Turkey's electricity consumption using support vector regression
    • K. Kavaklioglu Modeling and prediction of Turkey's electricity consumption using support vector regression Applied Energy 88 2011 368 375
    • (2011) Applied Energy , vol.88 , pp. 368-375
    • Kavaklioglu, K.1
  • 9
    • 60449106698 scopus 로고    scopus 로고
    • Development of artificial neural network model for a coal-fired boiler using real plant data
    • J. Smrekar, M. Assadi, M. Fast, I. Kuštrin, and S. De Development of artificial neural network model for a coal-fired boiler using real plant data Energy 34 2009 144 152
    • (2009) Energy , vol.34 , pp. 144-152
    • Smrekar, J.1    Assadi, M.2    Fast, M.3    Kuštrin, I.4    De, S.5
  • 10
    • 70449519150 scopus 로고    scopus 로고
    • A new T-S fuzzy-modeling approach to identify a boiler-turbine system
    • C. Li, J. Zhou, Q. Li, X. An, and X. Xiang A new T-S fuzzy-modeling approach to identify a boiler-turbine system Expert Systems with Applications 37 2010 2214 2221
    • (2010) Expert Systems with Applications , vol.37 , pp. 2214-2221
    • Li, C.1    Zhou, J.2    Li, Q.3    An, X.4    Xiang, X.5
  • 11
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • DOI 10.1016/j.neucom.2005.12.126, PII S0925231206000385
    • G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew Extreme learning machine: theory and applications Neurocomputing 70 2006 489 501 (Pubitemid 44615772)
    • (2006) Neurocomputing , vol.70 , Issue.1-3 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 12
    • 58549103087 scopus 로고    scopus 로고
    • No-reference image quality assessment using modified extreme learning machine classifier
    • S. Suresh, R. Venkatesh Babu, and H.J. Kim No-reference image quality assessment using modified extreme learning machine classifier Applied Soft Computing 9 2009 541 552
    • (2009) Applied Soft Computing , vol.9 , pp. 541-552
    • Suresh, S.1    Venkatesh Babu, R.2    Kim, H.J.3
  • 13
    • 68949200808 scopus 로고    scopus 로고
    • Error minimized extreme learning machine with growth of hidden nodes and incremental learning
    • G. Feng, G.-B. Huang, Q. Lin, and R. Gay Error minimized extreme learning machine with growth of hidden nodes and incremental learning IEEE Transactions on Neural Networks 20 8 2009 1352 1357
    • (2009) IEEE Transactions on Neural Networks , vol.20 , Issue.8 , pp. 1352-1357
    • Feng, G.1    Huang, G.-B.2    Lin, Q.3    Gay, R.4
  • 14
    • 84874022475 scopus 로고    scopus 로고
    • An enhanced extreme learning machine based on ridge regression for regression
    • 10.1007/s00521-011-0771-7
    • G. Li, and P. Niu An enhanced extreme learning machine based on ridge regression for regression Neural Computing and Application 2011 10.1007/s00521-011-0771-7
    • (2011) Neural Computing and Application
    • Li, G.1    Niu, P.2
  • 16
    • 84856020413 scopus 로고    scopus 로고
    • An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal
    • S. Suja Priyadharsini, and S. Edward Rajan An efficient soft-computing technique for extraction of EEG signal from tainted EEG signal Applied Soft Computing 12 2012 1131 1137
    • (2012) Applied Soft Computing , vol.12 , pp. 1131-1137
    • Suja Priyadharsini, S.1    Edward Rajan, S.2
  • 17
    • 84861850248 scopus 로고    scopus 로고
    • Classification of EMG signals using combined features and soft computing techniques
    • A. Subasi Classification of EMG signals using combined features and soft computing techniques Applied Soft Computing 12 2012 2188 2198
    • (2012) Applied Soft Computing , vol.12 , pp. 2188-2198
    • Subasi, A.1
  • 18
    • 84655165069 scopus 로고    scopus 로고
    • Soft computing methods applied to train station parking in urban rail transit
    • D. Chen, and C. Gao Soft computing methods applied to train station parking in urban rail transit Applied Soft Computing 12 2012 759 767
    • (2012) Applied Soft Computing , vol.12 , pp. 759-767
    • Chen, D.1    Gao, C.2
  • 19
    • 33644648057 scopus 로고    scopus 로고
    • A neuro-fuzzy approach for prediction of human work efficiency in noisy environment
    • DOI 10.1016/j.asoc.2005.02.001, PII S1568494605000189
    • Zaheeruddin, and Garima A neuro-fuzzy approach for prediction of human work efficiency in noisy environment Applied Soft Computing 6 2006 283 294 (Pubitemid 43326127)
    • (2006) Applied Soft Computing Journal , vol.6 , Issue.3 , pp. 283-294
    • Zaheeruddin1    Garima2
  • 20
    • 70649089285 scopus 로고    scopus 로고
    • Knowledge-based parameter identification of TSK fuzzy models
    • A. Tewari, and M.-U. 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.-U.2
  • 21
    • 81155139125 scopus 로고    scopus 로고
    • Estimation of elastic constant of rocks using an ANFIS approach
    • R. Singh, A. Kainthola, and T.N. Singh Estimation of elastic constant of rocks using an ANFIS approach Applied Soft Computing 12 2012 40 45
    • (2012) Applied Soft Computing , vol.12 , pp. 40-45
    • Singh, R.1    Kainthola, A.2    Singh, T.N.3
  • 22
    • 84655161548 scopus 로고    scopus 로고
    • Modeling customer satisfaction for new product development using a PSO-based ANFIS approach
    • H.M. Jiang, C.K. Kwong, W.H. Ip, and T.C. Wong Modeling customer satisfaction for new product development using a PSO-based ANFIS approach Applied Soft Computing 12 2012 726 734
    • (2012) Applied Soft Computing , vol.12 , pp. 726-734
    • Jiang, H.M.1    Kwong, C.K.2    Ip, W.H.3    Wong, T.C.4
  • 23
    • 81155139762 scopus 로고    scopus 로고
    • Simulation study for automatic generation control of a multi-area power system by ANFIS approach
    • S.R. Khuntia, and S. Panda Simulation study for automatic generation control of a multi-area power system by ANFIS approach Applied Soft Computing 12 2012 333 341
    • (2012) Applied Soft Computing , vol.12 , pp. 333-341
    • Khuntia, S.R.1    Panda, S.2
  • 24
    • 58849129653 scopus 로고    scopus 로고
    • Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods
    • M.A. Shoorehdeli, M. Teshnehlab, A.K. Sedigh, and M. Ahmadieh Khanesar Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods Applied Soft Computing 9 2009 833 850
    • (2009) Applied Soft Computing , vol.9 , pp. 833-850
    • Shoorehdeli, M.A.1    Teshnehlab, M.2    Sedigh, A.K.3    Ahmadieh Khanesar, M.4
  • 25
    • 34548482506 scopus 로고    scopus 로고
    • A novel approach for ANFIS modelling based on full factorial design
    • DOI 10.1016/j.asoc.2007.03.010, PII S1568494607000464
    • M. Buragohain, and C. Mahanta A novel approach for ANFIS modelling based on full factorial design Applied Soft Computing 8 2008 609 625 (Pubitemid 47374592)
    • (2008) Applied Soft Computing Journal , vol.8 , Issue.1 , pp. 609-625
    • Buragohain, M.1    Mahanta, C.2
  • 26
    • 81155148286 scopus 로고    scopus 로고
    • Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model
    • A. Keshavarzi, R. Gazni, and S.R. Homayoon Prediction of scouring around an arch-shaped bed sill using Neuro-Fuzzy model Applied Soft Computing 12 2012 486 493
    • (2012) Applied Soft Computing , vol.12 , pp. 486-493
    • Keshavarzi, A.1    Gazni, R.2    Homayoon, S.R.3
  • 27
    • 84857116526 scopus 로고    scopus 로고
    • A review on the design and optimization of interval type-2 fuzzy controllers
    • O. Castillo, and P. Melin A review on the design and optimization of interval type-2 fuzzy controllers Applied Soft Computing 12 2012 1267 1278
    • (2012) Applied Soft Computing , vol.12 , pp. 1267-1278
    • Castillo, O.1    Melin, P.2
  • 28
    • 84855985774 scopus 로고    scopus 로고
    • ANFIS-based approach for predicting sediment transport in clean sewer
    • H.Md. Azamathulla, A.Ab. Ghani, and S.Y. Fei ANFIS-based approach for predicting sediment transport in clean sewer Applied Soft Computing 12 2012 1227 1230
    • (2012) Applied Soft Computing , vol.12 , pp. 1227-1230
    • Azamathulla, H.Md.1    Ghani, A.Ab.2    Fei, S.Y.3
  • 29
    • 78751629446 scopus 로고    scopus 로고
    • ANFIS based sensor fault detection for continuous stirred tank reactor
    • U. Sabura Banu, and G. Umab ANFIS based sensor fault detection for continuous stirred tank reactor Applied Soft Computing 11 2011 2618 2624
    • (2011) Applied Soft Computing , vol.11 , pp. 2618-2624
    • Sabura Banu, U.1    Umab, G.2
  • 30
    • 4544367996 scopus 로고    scopus 로고
    • Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy ANFIS approach
    • DOI 10.1016/S1568-4946(03)00035-8
    • L. Aguilar, P. Melin, and O. Castillo Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy ANFIS approach Applied Soft Computing 3 2003 209 219 (Pubitemid 40442484)
    • (2003) Applied Soft Computing Journal , vol.3 , Issue.3 , pp. 209-219
    • Aguilar, L.1    Melin, P.2    Castillo, O.3
  • 31
    • 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. Jimenez, and F. Matia 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    Jimenez, A.2    Matia, F.3
  • 32
    • 80053568286 scopus 로고    scopus 로고
    • ANFIS based knee angle prediction: An approach to design speed adaptive contra lateral controlled AK prosthesis
    • D. Joshi, A. Mishra, and S. Anand ANFIS based knee angle prediction: an approach to design speed adaptive contra lateral controlled AK prosthesis Applied Soft Computing 11 2011 4757 4765
    • (2011) Applied Soft Computing , vol.11 , pp. 4757-4765
    • Joshi, D.1    Mishra, A.2    Anand, S.3
  • 33
    • 77957902265 scopus 로고    scopus 로고
    • A hybrid ANFIS model based on AR and volatility for TAIEX forecasting
    • J.-R. Chang, L.-Y. Wei, and C.-H. Cheng A hybrid ANFIS model based on AR and volatility for TAIEX forecasting Applied Soft Computing 11 2011 1388 1395
    • (2011) Applied Soft Computing , vol.11 , pp. 1388-1395
    • Chang, J.-R.1    Wei, L.-Y.2    Cheng, C.-H.3
  • 34
    • 84861851143 scopus 로고    scopus 로고
    • Estimation of heart rate signals for mental stress assessment using neuro fuzzy technique
    • G. Ranganathan, R. Rangarajan, and V. Bindhu Estimation of heart rate signals for mental stress assessment using neuro fuzzy technique Applied Soft Computing 12 2012 1978 1984
    • (2012) Applied Soft Computing , vol.12 , pp. 1978-1984
    • Ranganathan, G.1    Rangarajan, R.2    Bindhu, V.3
  • 35
    • 81155148313 scopus 로고    scopus 로고
    • Development and investigation of efficient artificial bee colony algorithm for numerical function optimization
    • G. Li, P. Niu, and X. Xiao Development and investigation of efficient artificial bee colony algorithm for numerical function optimization Applied Soft Computing 12 2012 320 332
    • (2012) Applied Soft Computing , vol.12 , pp. 320-332
    • Li, G.1    Niu, P.2    Xiao, X.3
  • 37
    • 78049297395 scopus 로고    scopus 로고
    • Gbest-guided artificial bee colony algorithm for numerical function optimization
    • G. Zhu, and S. Kwong Gbest-guided artificial bee colony algorithm for numerical function optimization Applied Mathematics and Computation 217 2010 3166 3173
    • (2010) Applied Mathematics and Computation , vol.217 , pp. 3166-3173
    • Zhu, G.1    Kwong, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.