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Volumn 44, Issue 1-2, 1998, Pages 153-160

A novel method for examination of the variable contribution to computational neural network models

Author keywords

Computational neural network (CNN) models; Regression coefficient; Variable contribution

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CALCULATION; COMPUTER SYSTEM; CONFERENCE PAPER; DATA ANALYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; PRIORITY JOURNAL;

EID: 0032517826     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(98)00118-X     Document Type: Conference Paper
Times cited : (53)

References (8)
  • 4
    • 0004063090 scopus 로고
    • A Comprehensive Foundation. Macmillan, New York
    • S. Haykin, Neural Networks, A Comprehensive Foundation. Macmillan, New York, 1994.
    • (1994) Neural Networks
    • Haykin, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.