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Volumn 793, Issue 2, 1998, Pages 317-329

Neural networks for optimization of high-performance capillary zone electrophoresis methods. A new method using a combination of experimental design and artificial neural networks

Author keywords

Chemometrics; Experimental design; Neural networks, artificial; Optimization

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; CAPILLARY ZONE ELECTROPHORESIS; CHEMOMETRICS; COMPUTER SIMULATION; ELECTROPHORETIC MOBILITY; INFORMATION PROCESSING; PH; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS; TECHNIQUE;

EID: 0032536127     PISSN: 00219673     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0021-9673(97)00918-7     Document Type: Article
Times cited : (84)

References (38)
  • 28
    • 0010746571 scopus 로고    scopus 로고
    • Prague, 17-20 September Abstracts
    • E. M. Peña, J. Havel, ITP'96, Prague, 17-20 September, 1996, Abstracts, p. 50.
    • (1996) ITP'96 , pp. 50
    • Peña, E.M.1    Havel, J.2
  • 33
    • 0010746211 scopus 로고    scopus 로고
    • Brno, 8-12 September Abstracts
    • J. Havel, P. Janoš, Chemometrics IV, Brno, 8-12 September, 1996, Abstracts, p. 67.
    • (1996) Chemometrics , vol.4 , pp. 67
    • Havel, J.1    Janoš, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.