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Volumn 7, Issue 5, 1994, Pages 809-817

Energy functions for minimizing misclassification error with minimum-complexity networks

Author keywords

Classification; Conjugate gradient; Energy functions; Gradient descent; Minimum misclassification error; Neural networks; Objective functions

Indexed keywords

APPROXIMATION THEORY; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; ERRORS; FUNCTION EVALUATION; LEAST SQUARES APPROXIMATIONS; PROBABILITY;

EID: 0027940939     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(94)90102-3     Document Type: Article
Times cited : (27)

References (24)
  • 14
    • 10944266519 scopus 로고
    • The aspirin/migraines software tools user's manual release v5.0
    • The MITRE Corporation
    • (1991) MP-91W00050
    • Leighton1
  • 23
    • 0003529238 scopus 로고
    • Beyond regression: New tools for prediction and analysis in behavioral sciences
    • Harvard University
    • (1974) PhD thesis
    • Werbos1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.