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Volumn 181, Issue 19, 2011, Pages 4112-4123

Nonlinear mappings in problem solving and their PSO-based development

Author keywords

Fuzzy sets; Linear regression; Matching; Nonlinear transformation; Particle swarm optimization; Variability reduction

Indexed keywords

ALGORITHMIC REALIZATION; FITNESS FUNCTIONS; INPUT SPACE; MATCHING; NON-LINEAR TRANSFORMATIONS; NONLINEAR MAPPINGS; PARTICLE SWARM; PIECEWISE LINEAR MAPPING; PROBLEM SOLVING METHODS; VARIABILITY REDUCTION;

EID: 79960199031     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2011.05.015     Document Type: Article
Times cited : (9)

References (17)
  • 1
    • 78649486389 scopus 로고    scopus 로고
    • Rule extraction from support vector machines: A review
    • N. Barakat, and A. Bradley Rule extraction from support vector machines: A review Neurocomputing 74 1-3 2010 178 190
    • (2010) Neurocomputing , vol.74 , Issue.13 , pp. 178-190
    • Barakat, N.1    Bradley, A.2
  • 2
    • 77957661892 scopus 로고    scopus 로고
    • Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques
    • S. Chen, and Y. Chang Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques Information Sciences 180 24 2010 4772 4783
    • (2010) Information Sciences , vol.180 , Issue.24 , pp. 4772-4783
    • Chen, S.1    Chang, Y.2
  • 3
    • 77950036364 scopus 로고    scopus 로고
    • On the versatility of radial basis function neural networks: A case study in the field of intrusion detection
    • D. Fisch, A. Hofmann, and B. Sick On the versatility of radial basis function neural networks: A case study in the field of intrusion detection Information Sciences 180 12 2010 2421 2439
    • (2010) Information Sciences , vol.180 , Issue.12 , pp. 2421-2439
    • Fisch, D.1    Hofmann, A.2    Sick, B.3
  • 4
    • 0035450099 scopus 로고    scopus 로고
    • On the state of the art in machine learning: A personal review
    • DOI 10.1016/S0004-3702(01)00125-4, PII S0004370201001254
    • P. Flach On the state of the art in machine learning: A personal review Artificial Intelligence 131 1-2 2001 199 222 (Pubitemid 32798583)
    • (2001) Artificial Intelligence , vol.131 , Issue.1-2 , pp. 199-222
    • Flach, P.A.1
  • 5
    • 77956393917 scopus 로고    scopus 로고
    • A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling
    • M. Gan, H. Peng, X. Peng, X. Chen, and G. Inoussa A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling Information Sciences 180 22 2010 4370 4383
    • (2010) Information Sciences , vol.180 , Issue.22 , pp. 4370-4383
    • Gan, M.1    Peng, H.2    Peng, X.3    Chen, X.4    Inoussa, G.5
  • 7
    • 79952193762 scopus 로고    scopus 로고
    • A set of new Chebyshev kernel functions for support vector machine pattern classification
    • S. Ozer, C. Chen, and H. Cirpan A set of new Chebyshev kernel functions for support vector machine pattern classification Pattern Recognition 44 7 2011 1435 1447
    • (2011) Pattern Recognition , vol.44 , Issue.7 , pp. 1435-1447
    • Ozer, S.1    Chen, C.2    Cirpan, H.3
  • 8
    • 79953288891 scopus 로고    scopus 로고
    • Personalized mode transductive spanning SVM classification tree
    • S. Pang, T. Ban, Y. Kadobayashi, and N. Kasabov Personalized mode transductive spanning SVM classification tree Information Sciences 181 11 2011 2071 2085
    • (2011) Information Sciences , vol.181 , Issue.11 , pp. 2071-2085
    • Pang, S.1    Ban, T.2    Kadobayashi, Y.3    Kasabov, N.4
  • 9
    • 27644574990 scopus 로고    scopus 로고
    • Differential evolution and particle swarm optimisation in partitional clustering
    • DOI 10.1016/j.csda.2004.12.004, PII S0167947304003962
    • S. Paterlini, and T. Krink Differential evolution and particle swarm optimization in partitional clustering Computational Statistics and Data Analysis 50 5 2006 1220 1247 (Pubitemid 41562038)
    • (2006) Computational Statistics and Data Analysis , vol.50 , Issue.5 , pp. 1220-1247
    • Paterlini, S.1    Krink, T.2
  • 10
    • 0345724917 scopus 로고    scopus 로고
    • Improved Hidden Markov Model training for multiple sequence alignment by a particle swarm optimization - Evolutionary algorithm hybrid
    • DOI 10.1016/S0303-2647(03)00131-X
    • T.K. Rasmussen, and T. Krink Improved Hidden Markov Model training for multiple sequence alignment by a particle swarm optimization - evolutionary algorithm hybrid Biosystems 72 1-2 2003 5 17 (Pubitemid 37464786)
    • (2003) BioSystems , vol.72 , Issue.1-2 , pp. 5-17
    • Rasmussen, T.K.1    Krink, T.2
  • 11
    • 0037475094 scopus 로고    scopus 로고
    • The particle swarm optimization algorithm: Convergence analysis and parameter selection
    • I.C. Trelea The particle swarm optimization algorithm: convergence analysis and parameter selection Information Processing Letters 85 6 2003 317 325
    • (2003) Information Processing Letters , vol.85 , Issue.6 , pp. 317-325
    • Trelea, I.C.1
  • 12
    • 34548269905 scopus 로고    scopus 로고
    • Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients
    • DOI 10.1016/j.ins.2007.06.018, PII S0020025507003155
    • P.K. Tripathi, S. Bandyopadhyay, and S.K. Pal Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients Information Sciences 177 2007 5033 5049 (Pubitemid 47331463)
    • (2007) Information Sciences , vol.177 , Issue.22 , pp. 5033-5049
    • Tripathi, P.K.1    Bandyopadhyay, S.2    Pal, S.K.3
  • 13
    • 31944448941 scopus 로고    scopus 로고
    • A study of particle swarm optimization particle trajectories
    • DOI 10.1016/j.ins.2005.02.003, PII S0020025505000630
    • F. van den Bergh, and A.P. Engelbrecht A study of particle swarm optimization particle trajectories Information Sciences 176 8 2006 937 971 (Pubitemid 43190068)
    • (2006) Information Sciences , vol.176 , Issue.8 , pp. 937-971
    • Van Den Bergh, F.1    Engelbrecht, A.P.2
  • 14
    • 79955463630 scopus 로고    scopus 로고
    • A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertainty
    • S. Wang, and J. Watada A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertainty Information Sciences 2010
    • (2010) Information Sciences
    • Wang, S.1    Watada, J.2
  • 15
    • 67651001563 scopus 로고    scopus 로고
    • Radial basis function network learning using localized generalization error bound
    • D. Yeung, P. Chan, and W. Ng Radial basis function network learning using localized generalization error bound Information Sciences 179 19 2009 3199 3217
    • (2009) Information Sciences , vol.179 , Issue.19 , pp. 3199-3217
    • Yeung, D.1    Chan, P.2    Ng, W.3
  • 16
    • 18144388681 scopus 로고    scopus 로고
    • Toward a generalized theory of uncertainty (GTU)- An outline
    • DOI 10.1016/j.ins.2005.01.017, PII S002002550500054X
    • L.A. Zadeh Toward a generalized theory of uncertainty (GTU) - an outline Information Sciences 172 1-2 2005 1 40 (Pubitemid 40612866)
    • (2005) Information Sciences , vol.172 , Issue.1-2 , pp. 1-40
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.