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Volumn 4403 LNCS, Issue , 2007, Pages 346-360

Multiobjective evolutionary neural networks for time series forecasting

Author keywords

Multiobjective evolutionary neural network; Time series forecasting

Indexed keywords

COMPUTATIONAL EFFICIENCY; EVOLUTIONARY ALGORITHMS; FORECASTING; MULTIOBJECTIVE OPTIMIZATION; TIME SERIES ANALYSIS;

EID: 37249028702     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-70928-2_28     Document Type: Conference Paper
Times cited : (10)

References (24)
  • 4
    • 0002006114 scopus 로고
    • Error measures for generalizing about forecasting methodsEmpirical Comparisons
    • Armstrong, J., Collopy, F.: Error measures for generalizing about forecasting methodsEmpirical Comparisons. International Journal of Forecasting, Vol. 8, No. 1 (1992) 69-80
    • (1992) International Journal of Forecasting , vol.8 , Issue.1 , pp. 69-80
    • Armstrong, J.1    Collopy, F.2
  • 6
    • 84945797434 scopus 로고
    • Dynamic node creation in backpropagation networks
    • Ash, T.: Dynamic node creation in backpropagation networks. Connection Science, Vol. 1, No. 4 (1989) 365-375
    • (1989) Connection Science , vol.1 , Issue.4 , pp. 365-375
    • Ash, T.1
  • 7
    • 0032795250 scopus 로고    scopus 로고
    • Modeling with constructive backpropagation
    • Lehtokangas, M.: Modeling with constructive backpropagation. Neural Networks, Vol. 12 (1999) 707-716
    • (1999) Neural Networks , vol.12 , pp. 707-716
    • Lehtokangas, M.1
  • 9
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • Yao, X.: Evolving artificial neural networks. Proceedings of the IEEE, Vol. 87, No. 9 (1999) 1423-1447
    • (1999) Proceedings of the IEEE , vol.87 , Issue.9 , pp. 1423-1447
    • Yao, X.1
  • 10
    • 33646756558 scopus 로고    scopus 로고
    • Evolutionary Multiobjective Optimization Approach for Evolving Assemble of Intelligent Paradigms for Stock Market Modeling. Advances in Artificial Intelligence, Lecture Notes in Computer Science
    • Abraham, A., Grosan, C., Han, S.Y., Gelbukh, A.: Evolutionary Multiobjective Optimization Approach for Evolving Assemble of Intelligent Paradigms for Stock Market Modeling. Advances in Artificial Intelligence, Lecture Notes in Computer Science, Springer, Vol. 3789 (2005) 673-681
    • (2005) Springer , vol.3789 , pp. 673-681
    • Abraham, A.1    Grosan, C.2    Han, S.Y.3    Gelbukh, A.4
  • 11
    • 84901459245 scopus 로고    scopus 로고
    • Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization
    • Abbass, H.A.: Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization. IEEE Congress on Evolutionary Computation, Vol. 3 (2003)2074-2080
    • (2003) IEEE Congress on Evolutionary Computation , vol.3 , pp. 2074-2080
    • Abbass, H.A.1
  • 12
    • 84944892396 scopus 로고    scopus 로고
    • Abbass, H.A.: A Memetic Pareto Evolutionary Approach to Artificial Neural Networks. Australian Joint Conference on Artificial Intelligence (2001) 1-12
    • Abbass, H.A.: A Memetic Pareto Evolutionary Approach to Artificial Neural Networks. Australian Joint Conference on Artificial Intelligence (2001) 1-12
  • 13
    • 0036275180 scopus 로고    scopus 로고
    • An evolutionary artificial neural networks approach for breast cancer diagnosis
    • Abbass, H.A.: An evolutionary artificial neural networks approach for breast cancer diagnosis. Artificial Intelligence in Medicine, Vol. 25, No. 3 (2002) 265-281
    • (2002) Artificial Intelligence in Medicine , vol.25 , Issue.3 , pp. 265-281
    • Abbass, H.A.1
  • 16
    • 4344623228 scopus 로고    scopus 로고
    • Neural network regularization and ensembling using multi-objective evolutionary algorithms
    • Jin, Y., Okabe, T., Sendhoff, B.: Neural network regularization and ensembling using multi-objective evolutionary algorithms. Congress on Evolutionary Computation (2004) 1-8
    • (2004) Congress on Evolutionary Computation , pp. 1-8
    • Jin, Y.1    Okabe, T.2    Sendhoff, B.3
  • 17
    • 32144456690 scopus 로고    scopus 로고
    • DIVACE: Diverse and Accurate Ensemble Learning Algorithm
    • Conference on Intelligent Data Engineering and Automated Learning, Springer
    • Chandra, A., Yao, X.: DIVACE: Diverse and Accurate Ensemble Learning Algorithm. Conference on Intelligent Data Engineering and Automated Learning, Lecture Notes in Computer Science, Springer, Vol. 3177 (2004) 619-625
    • (2004) Lecture Notes in Computer Science , vol.3177 , pp. 619-625
    • Chandra, A.1    Yao, X.2
  • 18
    • 10444221886 scopus 로고    scopus 로고
    • Diversity creation methods: A survey and categorization
    • Brown, G., Wyatt, J., Harris, R., Yao, X.: Diversity creation methods: a survey and categorization. Journal of Information Fusion, Vol. 6, No. 1 (2005) 5-20
    • (2005) Journal of Information Fusion , vol.6 , Issue.1 , pp. 5-20
    • Brown, G.1    Wyatt, J.2    Harris, R.3    Yao, X.4
  • 19
    • 0004042460 scopus 로고
    • Probenl-A Set of Neural Network Benchmarking Problems and Benchmarking Rules
    • Technical Report Nr. 21/ 94, Faculty of Computer Science, University of Karlsruhe, Germany
    • Prechelt, L.: Probenl-A Set of Neural Network Benchmarking Problems and Benchmarking Rules. Technical Report Nr. 21/ 94, Faculty of Computer Science, University of Karlsruhe, Germany (1994)
    • (1994)
    • Prechelt, L.1
  • 20
    • 37249036356 scopus 로고    scopus 로고
    • An evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization
    • Radtke P.V.W., Wong T., Sabourin R.: An evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization. IEEE Congress on Evolutionary Computation (2006) 6359-6366.
    • (2006) IEEE Congress on Evolutionary Computation , pp. 6359-6366
    • Radtke, P.V.W.1    Wong, T.2    Sabourin, R.3
  • 21
    • 0003348046 scopus 로고
    • Threshold models in non-linear time series analysis
    • Tong, H.: Threshold models in non-linear time series analysis. Springer lecture notes in Statistics, Vol. 21 (1983)
    • (1983) Springer lecture notes in Statistics , vol.21
    • Tong, H.1
  • 23
    • 37249041821 scopus 로고    scopus 로고
    • Cortez, P., Rocha, M., Neves, J.: A Meta-Genetic Algorithm for Time Series Forecasting. Workshop on Artificial Intelligence Techniques for Financial Time Series Analysis, 10th Portuguese Conference on Artificial Intelligence (2001) 21-31
    • Cortez, P., Rocha, M., Neves, J.: A Meta-Genetic Algorithm for Time Series Forecasting. Workshop on Artificial Intelligence Techniques for Financial Time Series Analysis, 10th Portuguese Conference on Artificial Intelligence (2001) 21-31
  • 24
    • 37249030772 scopus 로고    scopus 로고
    • Hyndman, R.J.: Time Series Data Library, http://www.robhyndman.info/TSDL/ . Accessed on 14102006.
    • Hyndman, R.J.: Time Series Data Library, http://www.robhyndman.info/TSDL/ . Accessed on 14102006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.