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Volumn 2, Issue , 2002, Pages 1528-1533

Robust algorithm for neural network training

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; C (PROGRAMMING LANGUAGE); CALCULATIONS; GENETIC ALGORITHMS; GRADIENT METHODS; GRAPH THEORY; HEURISTIC METHODS; INTERFACES (COMPUTER); INTERNET;

EID: 0036079816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (31)
  • 10
    • 0003704314 scopus 로고
    • Design of artificial neural networks using genetic algorithms: Review and prospect
    • University Sussex, Brighton, U.K., Cognitive Sci. Res. Paper 319
    • (1994)
    • Kuseu, I.1    Thorton, C.2
  • 11
    • 0004216572 scopus 로고
    • Evolutionary design of neural architectures - Preliminary taxonomy and guide to literature
    • Artificial Intelligence group, Iowa State University, Ames, Tech. Rep. CS TR#98-01
    • (1995)
    • Balakrishnan, K.1    Honavar, V.2
  • 18
    • 0035674244 scopus 로고    scopus 로고
    • Genetic adaptive neural network to predict biochemical failure after radical prostatectomy: A multi-institutional study
    • (2001) Molecular Urology , vol.5 , Issue.4 , pp. 163-169
    • Tewari, A.1
  • 22
    • 0007545218 scopus 로고    scopus 로고
    • Application of neural networks and genetic programming to rainfall runoff modeling
    • D2K Technical Report (D2K-0699-1), Danish Hydraulic Institute (Hydroinformatics Technologies, HIT)
    • Drecqurt, J.P.1
  • 24
    • 0000836083 scopus 로고    scopus 로고
    • Evaluating the performance of combining neural networks and genetic algorithms for forecast construction demand: The case of the Singapore residential sector
    • (2000) Construction Management and Economics , vol.18 , pp. 209-217
    • Hua, G.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.