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Volumn 5, Issue 3, 1994, Pages 372-379

A Polynomial Network for Predicting Temperature Distributions

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; DATA ACQUISITION; DATA REDUCTION; INFORMATION THEORY; MATHEMATICAL MODELS; NATURAL SCIENCES COMPUTING; OPERATIONS RESEARCH; OPTIMIZATION; POLYNOMIALS; PRODUCT DESIGN; TEMPERATURE DISTRIBUTION; TEMPERATURE MEASUREMENT;

EID: 0028428285     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.286909     Document Type: Article
Times cited : (27)

References (16)
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  • 2
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    • P. N. Somerville and S. J. Bean. “Modeling visibility for locations in Germany where no records exist,” Air Force Geophys. Lab., Hanscom, MA, Final Rep., 1981.
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    • Somerville, P.N.1    Bean, S.J.2
  • 3
    • 84941494611 scopus 로고
    • A method for assessing hourly temperature probabilities from limited data records
    • June
    • E. E. Lackey, “A method for assessing hourly temperature probabilities from limited data records,” Bull. Amer. Meteorol. Soc., vol. 41, no. 6, pp. 298-303, June 1960.
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    • Lackey, E.E.1
  • 5
    • 0015142058 scopus 로고
    • Polynomial theory of complex systems
    • A. G. Ivakhnenko, “Polynomial theory of complex systems,” IEEE Trans. Syst., Man, Cybern., vol. 1, no. 4, pp. 364-368, 1971.
    • (1971) IEEE Trans. Syst., Man, Cybern. , vol.1 , Issue.4 , pp. 364-368
    • Ivakhnenko, A.G.1
  • 6
    • 0003363509 scopus 로고
    • Self organizing neural networks for the identification problem
    • D. S. Touretzky, Ed. San Mateo, CA: Morgan Kauffman
    • M. F. Tenorio and W. T. Lee, “Self organizing neural networks for the identification problem,” in Advances in Neural Information Processing Systems, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kauffman, 1989, pp. 57-64.
    • (1989) Advances in Neural Information Processing Systems , pp. 57-64
    • Tenorio, M.F.1    Lee, W.T.2
  • 8
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    • Predicted squared error: A criterion for automatic model selection
    • S. J. Farlow, Ed. Dekker
    • A. R. Barron, “Predicted squared error: A criterion for automatic model selection,” in Self-Organizing Methods in Modeling, S. J. Farlow, Ed. Dekker, 1984, pp. 87-104.
    • (1984) Self-Organizing Methods in Modeling , pp. 87-104
    • Barron, A.R.1
  • 9
    • 51249190305 scopus 로고
    • Statistical predictor identification
    • H. Akaike, “Statistical predictor identification,” Ann, Inst. Stat. Math., vol. 22, pp. 203-217, 1970.
    • (1970) Ann, Inst. Stat. Math. , vol.22 , pp. 203-217
    • Akaike, H.1
  • 10
    • 0010845919 scopus 로고
    • Neural dynamics of category learning and recognition: Attention, memory consolidation, and amnesia
    • J. Davis, R. Newburgh, and E. Wegman, Eds.
    • G. Carpenter and S. Grossberg, “Neural dynamics of category learning and recognition: Attention, memory consolidation, and amnesia,” in Brain Structure, Learning, and Memory (AAAS Symposium Series), J. Davis, R. Newburgh, and E. Wegman, Eds. 1986.
    • (1986) Brain Structure, Learning, and Memory (AAAS Symposium Series)
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  • 11
    • 0019586465 scopus 로고
    • Properties of cross-entropy minimization
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  • 12
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    • A correspondence principle for relative entropy minimization
    • D. E. Brown and R. L. Smith, “A correspondence principle for relative entropy minimization,” Naval Res. Logistics, vol. 37, pp. 191-202, 1990.
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  • 13
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    • A justification for applying the principle of minimum relative entropy to information integration problems
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.