메뉴 건너뛰기




Volumn 3, Issue , 2011, Pages 282-286

Self-adaptive global best harmony search algorithm for training neural networks

Author keywords

Computational intelligence; Harmony search; Machine learning; Meta heuristics; Neural networks

Indexed keywords

BENCHMARKING PROBLEMS; COMPUTATIONAL INTELLIGENCE; DATA REPRESENTATIONS; HARMONY SEARCH; HARMONY SEARCH ALGORITHMS; MACHINE-LEARNING; META HEURISTICS; SELF-ADAPTIVE; SUM OF SQUARED ERRORS; TRAINING AND TESTING; TRAINING TIME; TWO CLASSIFICATION;

EID: 79952524809     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2010.12.048     Document Type: Conference Paper
Times cited : (31)

References (13)
  • 1
    • 77950988065 scopus 로고    scopus 로고
    • Harmony search based supervised training of artificial neural networks
    • Modelling and Simulation, 978-0-7695-3973-7/10 $26.00 © 2010 IEEE, DOI 10.1109/ISMS.2010.31
    • A. Kattan, R. Abdullah, R. A. Salam, Harmony Search Based Supervised Training of Artificial Neural Networks, 2010 International Conference on Intelligent Systems, Modelling and Simulation, 978-0-7695-3973-7/10 $26.00 © 2010 IEEE, DOI 10.1109/ISMS.2010.31.
    • 2010 International Conference on Intelligent Systems
    • Kattan, A.1    Abdullah, R.2    Salam, R.A.3
  • 4
    • 34547535038 scopus 로고    scopus 로고
    • An ant colony optimization algorithm for continuous optimization: Application to feed-forward neural network training
    • K. Socha, C. Blum, An Ant Colony Optimization Algorithm for Continuous Optimization: Application to Feed-forward Neural Network Training, Neural Comput & Applic, 16 (2007) 235-247.
    • (2007) Neural Comput & Applic , vol.16 , pp. 235-247
    • Socha, K.1    Blum, C.2
  • 5
    • 79952505787 scopus 로고    scopus 로고
    • A variation of particle swarm optimization for training of artificial neural networks
    • Book edited by: Al-Dahoud Ali, ISBN: 978-953-7619-28-2, INTECH, February
    • M. Zamani and A. Sadeghian, A Variation of Particle Swarm Optimization for Training of Artificial Neural Networks, Computational Intelligence and Modern Heuristics, Book edited by: Al-Dahoud Ali, ISBN: 978-953-7619-28-2, INTECH, February 2010.
    • (2010) Computational Intelligence and Modern Heuristics
    • Zamani, M.1    Sadeghian, A.2
  • 6
    • 51849137850 scopus 로고    scopus 로고
    • Training of artificial neural networks using differential evolution algorithm
    • Sracow, Poland
    • A. Slowik, M. Bialko, Training of Artificial Neural Networks Using Differential Evolution Algorithm, In: Proc. IEEE Conference on Human System Interaction, Sracow, Poland, pp. 60-65, 2008.
    • (2008) Proc. IEEE Conference on Human System Interaction , pp. 60-65
    • Slowik, A.1    Bialko, M.2
  • 7
    • 67651121862 scopus 로고    scopus 로고
    • Neural networks training by artificial bee colony algorithm on pattern classification
    • D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19 (2009) 279-292.
    • (2009) Neural Network World , vol.19 , pp. 279-292
    • Karaboga, D.1    Ozturk, C.2
  • 8
    • 77949490771 scopus 로고    scopus 로고
    • A self-adaptive global best harmony search algorithm for continuous optimization problems
    • Q. Pan, P. N. Suganthan, M. F. Tasgetiren, J. J. Liang, A Self-adaptive Global Best Harmony Search Algorithm for Continuous Optimization Problems, Applied Mathematics and Computation, 216 (2010) 830-848.
    • (2010) Applied Mathematics and Computation , vol.216 , pp. 830-848
    • Pan, Q.1    Suganthan, P.N.2    Tasgetiren, M.F.3    Liang, J.J.4
  • 10
    • 0034974417 scopus 로고    scopus 로고
    • A new heuristic optimization algorithm: Harmony search
    • Z. W. Geem, J. H. Kim, G. V. Loganathan, A New Heuristic Optimization Algorithm: Harmony Search, Simulations, 76 (2001) 60-68. (Pubitemid 32543074)
    • (2001) Simulation , vol.76 , Issue.2 , pp. 60-68
    • Geem, Z.W.1    Kim, J.H.2    Loganathan, G.V.3
  • 11
    • 34248141625 scopus 로고    scopus 로고
    • An improved harmony search algorithm for solving optimization problems
    • DOI 10.1016/j.amc.2006.11.033, PII S0096300306015098
    • M. Mahdavi, M. Fesanghary, E. Damangir, An Improved Harmony Search Algorithm for Solving Optimization Problems, Appl. Math. Comput., 188 (2007) 1567-1579. (Pubitemid 46710046)
    • (2007) Applied Mathematics and Computation , vol.188 , Issue.2 , pp. 1567-1579
    • Mahdavi, M.1    Fesanghary, M.2    Damangir, E.3
  • 12
    • 40849115183 scopus 로고    scopus 로고
    • Global-best harmony search
    • DOI 10.1016/j.amc.2007.09.004, PII S0096300307009320
    • M. G. H. Omran, M. Mahdavi, Global-best Harmony Search, Appl. Math. Comput., 198 (2008) 643-656. (Pubitemid 351400737)
    • (2008) Applied Mathematics and Computation , vol.198 , Issue.2 , pp. 643-656
    • Omran, M.G.H.1    Mahdavi, M.2
  • 13
    • 70350126159 scopus 로고    scopus 로고
    • A soft-computing based approach for integrated training and rule extraction from artificial neural networks: DIFACONN-miner
    • L. Ozbakir, A. Baykasoglu, S. Kulluk, A Soft-computing Based Approach for Integrated Training and Rule Extraction from Artificial Neural Networks: DIFACONN-miner, Applied Soft Computing, 10 (2010) 304-317.
    • (2010) Applied Soft Computing , vol.10 , pp. 304-317
    • Ozbakir, L.1    Baykasoglu, A.2    Kulluk, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.