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Volumn 2714, Issue , 2003, Pages 654-661

Selecting and ranking time series models using the NOEMON approach

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 26744435242     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44989-2_78     Document Type: Article
Times cited : (5)

References (15)
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  • 3
    • 0000167087 scopus 로고
    • Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations
    • Collopy, F. and Armstrong, J.S.: Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations. Management Science, 38(10) (1992) 1394-1414
    • (1992) Management Science , vol.38 , Issue.10 , pp. 1394-1414
    • Collopy, F.1    Armstrong, J.S.2
  • 4
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    • Combining and Selecting Forecasting Models Using Rule Based Induction
    • Arinze, B., Kim, S-L. and Anandarajan M.: Combining and Selecting Forecasting Models Using Rule Based Induction. Computers & Operations Research, 24(5) (1997) 423-433
    • (1997) Computers & Operations Research , vol.24 , Issue.5 , pp. 423-433
    • Arinze, B.1    Kim, S.-L.2    Anandarajan, M.3
  • 6
    • 0042047333 scopus 로고
    • Selecting Appropriate Forecasting Models Using Rule Induction
    • Arinze, B.: Selecting Appropriate Forecasting Models Using Rule Induction. Omega-International Journal of Management Science, 22(6) (1994) 647-658
    • (1994) Omega-International Journal of Management Science , vol.22 , Issue.6 , pp. 647-658
    • Arinze, B.1
  • 7
    • 0028485121 scopus 로고
    • Neural Network System for Forecasting Method Selection
    • Chu C-H, Widjaja D: Neural Network System for Forecasting Method Selection. Decision Support Systems, 12(1) (1994) 13-24
    • (1994) Decision Support Systems , vol.12 , Issue.1 , pp. 13-24
    • Chu, C.-H.1    Widjaja, D.2
  • 8
    • 0008327642 scopus 로고    scopus 로고
    • An Intelligent Model Selection and Forecasting System
    • Venkatachalan, A. R. and Sohl, J. E.: An Intelligent Model Selection and Forecasting System. Journal of Forecasting, 18 (1999) 167-180
    • (1999) Journal of Forecasting , vol.18 , pp. 167-180
    • Venkatachalan, A.R.1    Sohl, J.E.2
  • 10
    • 0000153354 scopus 로고    scopus 로고
    • NOEMON: Design, Implementation and Performance Results of an Intelligent Assistant for Classifier Selection
    • Kalousis A. and Theoharis, T.: NOEMON: Design, Implementation and Performance Results of an Intelligent Assistant for Classifier Selection. Intelligent Data Analysis, 3(5) (1999) 319-337
    • (1999) Intelligent Data Analysis , vol.3 , Issue.5 , pp. 319-337
    • Kalousis, A.1    Theoharis, T.2
  • 11
    • 0022471098 scopus 로고
    • Learning Representations by Backpropagation Errors
    • Rumelhart, D. E., Hinton, G. E., Williams, R. J.: Learning Representations by Backpropagation Errors. Nature, 323 (1986) 533-536
    • (1986) Nature , vol.323 , pp. 533-536
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  • 12
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    • Automatic Identification of Time Series Features for Rule-Based Forecasting
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    • (2001) Int. Jour. of Forecasting , vol.17 , Issue.2 , pp. 143-157
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  • 13
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    • Symbolic and Neural Learning Algorithms: An Experimental Comparison
    • Shavlik, J. W., Mooney, R.J. and Towell, G.G.: Symbolic and Neural Learning Algorithms: An Experimental Comparison. Machine Learning, 6(2) (1991) 111-143
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    • Shavlik, J.W.1    Mooney, R.J.2    Towell, G.G.3
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    • The M3-Competition: Results, Conclusions and Implications
    • Makridakis S., Hibon M.: The M3-Competition: Results, Conclusions and Implications. International Journal of Forecasting, 16(4) (2000) 451-476
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.