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Volumn 63, Issue 2, 2002, Pages 169-187

A stochastic trained neural network for nonparametric hypothesis testing

Author keywords

Genetic algorithms; Hypothesis testing; Neural networks; Statistical decision

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BINOCULAR CONVERGENCE; EVALUATION; HYPOTHESIS; NONPARAMETRIC TEST; PREDICTION; PRIORITY JOURNAL; SIMULATION; STOCHASTIC MODEL; THEORETICAL MODEL; TRAINING;

EID: 0037190317     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(02)00047-3     Document Type: Article
Times cited : (6)

References (41)
  • 21
    • 0010013062 scopus 로고
    • Technical Paper-DAIMI PB-486, Computer Science Department, Aarhus University. Obtained by anonymous ftp in archive.cis.ohio-state.edu in/pub/neuroprose
    • (1994)
    • Korning, P.G.1
  • 37
    • 0009972468 scopus 로고
    • Technical Report 21/94. Obtained by anonymous ftp in ftp://archive.cis.ohio-state.edu/pub/neuroprose
    • (1994)
    • Prechelt, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.