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Volumn 42, Issue 4, 2011, Pages 1000-1004

Hybrid-QPSO-based parameters optimization of LS-SVM and its application

Author keywords

Hybrid QPSO; LS SVM; Parameters optimization; Purification process

Indexed keywords

GENERALIZATION ABILITY; GENERALIZATION PERFORMANCE; GLOBAL OPTIMAL SOLUTIONS; GLOBAL SEARCH ABILITY; HYBRID QPSO; INITIAL POSITION; LEARNING PERFORMANCE; LEAST SQUARES SUPPORT VECTOR MACHINES; LOCAL OPTIMAL; LOCAL SEARCH; LS-SVM; MODELING METHOD; PARAMETER OPTIMIZATION PROBLEMS; PARAMETER SELECTION; PARAMETERS OPTIMIZATION; POWELL ALGORITHMS; PRODUCTION DATA; PURIFICATION PROCESS; TEST FUNCTIONS; TEST RESULTS; ZINC HYDROMETALLURGY;

EID: 79957631074     PISSN: 16727207     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (14)
  • 2
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens J A K, Vandewalle J. Least squares support vector machine classifiers[J]. Neural Processing Letters, 1999, 9(3): 293-300.
    • (1999) Neural Processing Letters , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 3
    • 33846837272 scopus 로고    scopus 로고
    • Fault diagnostics based on particle swarm optimization and support vector machines
    • YUAN Sheng-fa, CHU Fu-lei. Fault diagnostics based on particle swarm optimization and support vector machines[J]. Mechanical Systems and Signal Processing, 2007, 21(4): 1787-1798.
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.4 , pp. 1787-1798
    • Yuan, S.-F.1    Chu, F.-L.2
  • 4
    • 55749112476 scopus 로고    scopus 로고
    • Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model
    • HONG Wei-chiang. Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model[J]. Energy Conversion and Management, 2009, 50(1): 105-117.
    • (2009) Energy Conversion and Management , vol.50 , Issue.1 , pp. 105-117
    • Hong, W.-C.1
  • 5
    • 64049091467 scopus 로고    scopus 로고
    • One-against-one fuzzy support vector machine classifier: An approach to text categorization
    • WANG Tai-yue, CHIANG Huei-min. One-against-one fuzzy support vector machine classifier: An approach to text categorization[J]. Expert Systems with Applications, 2009, 36(6): 10030-10034.
    • (2009) Expert Systems with Applications , vol.36 , Issue.6 , pp. 10030-10034
    • Wang, T.-Y.1    Chiang, H.-M.2
  • 6
    • 60049084399 scopus 로고    scopus 로고
    • Prediction of cis/trans isomerization using feature selection and support vector machines
    • Exarchos K P, Papaloukas C, Exarchos T P, et al. Prediction of cis/trans isomerization using feature selection and support vector machines[J]. Journal of Biomedical Informatics, 2009, 42(1): 140-149.
    • (2009) Journal of Biomedical Informatics , vol.42 , Issue.1 , pp. 140-149
    • Exarchos, K.P.1    Papaloukas, C.2    Exarchos, T.P.3
  • 7
    • 44649101311 scopus 로고    scopus 로고
    • Robust and efficient multiclass SVM models for phrase pattern recognition
    • Wu Y C, Lee Y S, Yang J C. Robust and efficient multiclass SVM models for phrase pattern recognition[J]. Pattern Recognition, 2008, 41(9): 2874-2889.
    • (2008) Pattern Recognition , vol.41 , Issue.9 , pp. 2874-2889
    • Wu, Y.C.1    Lee, Y.S.2    Yang, J.C.3
  • 8
    • 65149106072 scopus 로고    scopus 로고
    • Prediction model of ion concentration based on improved online support vector regression
    • WANG Ling-yun, GUI Wei-hua, LIU Mei-hua, et al. Prediction model of ion concentration based on improved online support vector regression[J]. Control and Decision, 2009, 24(4): 537-541.
    • (2009) Control and Decision , vol.24 , Issue.4 , pp. 537-541
    • Wang, L.-Y.1    Gui, W.-H.2    Liu, M.-H.3
  • 9
    • 63349102517 scopus 로고    scopus 로고
    • Parameter selection for support vector machines based on genetic algorithms to short-term power load forecasting
    • WU Jing-long, YANG Shu-xia, LIU Cheng-shui. Parameter selection for support vector machines based on genetic algorithms to short-term power load forecasting[J]. Journal of Central South University: Science and Technology, 2009, 40(1): 180-184.
    • (2009) Journal of Central South University: Science and Technology , vol.40 , Issue.1 , pp. 180-184
    • Wu, J.-L.1    Yang, S.-X.2    Liu, C.-S.3
  • 10
    • 67649631501 scopus 로고    scopus 로고
    • Application of support vector machine and genetic algorithm for improved blood cell recognition
    • Osowski S, Siroic R, Markiewicz T, et al. Application of support vector machine and genetic algorithm for improved blood cell recognition[J]. Instrumentation and Measurement, 2009, 58(7): 2159-2168.
    • (2009) Instrumentation and Measurement , vol.58 , Issue.7 , pp. 2159-2168
    • Osowski, S.1    Siroic, R.2    Markiewicz, T.3
  • 11
    • 50149108380 scopus 로고    scopus 로고
    • A distributed PSO-SVM hybrid system with feature selection and parameter optimization
    • HUANG Cheng-lung, DUN Jian-fan. A distributed PSO-SVM hybrid system with feature selection and parameter optimization[J]. Applied Soft Computing, 2008, 8(4): 1381-1391.
    • (2008) Applied Soft Computing , vol.8 , Issue.4 , pp. 1381-1391
    • Huang, C.-L.1    Dun, J.-F.2
  • 13
  • 14
    • 1442358005 scopus 로고    scopus 로고
    • Purification of zinc sulfate solutions from cobalt and nickel through activated cementation
    • Boyanov B S, Konareva V V, Kolev N K. Purification of zinc sulfate solutions from cobalt and nickel through activated cementation[J]. Hydrometallurgy, 2004, 73(1): 163-168.
    • (2004) Hydrometallurgy , vol.73 , Issue.1 , pp. 163-168
    • Boyanov, B.S.1    Konareva, V.V.2    Kolev, N.K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.