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Volumn 85, Issue 4, 2006, Pages 794-797

Comparison of Gompertz and neural network models of broiler growth

Author keywords

Gompertz; Growth equation; Neural network

Indexed keywords

ANIMALIA; AVES;

EID: 33646927522     PISSN: 00325791     EISSN: 15253171     Source Type: Journal    
DOI: 10.1093/ps/85.4.794     Document Type: Article
Times cited : (77)

References (5)
  • 2
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    • Comparison of three nonlinear regression models for describing broiler growth curves
    • Rogers, S. R., G. M. Pesti, and H. L. Marks. 1987. Comparison of three nonlinear regression models for describing broiler growth curves. Growth 51:229-239.
    • (1987) Growth , vol.51 , pp. 229-239
    • Rogers, S.R.1    Pesti, G.M.2    Marks, H.L.3
  • 3
    • 0003597577 scopus 로고    scopus 로고
    • SAS Institute, Version 8. SAS Institute, Inc, Cary, NC
    • SAS Institute. 1999. SAS/STAT User's Guide. Version 8. SAS Institute, Inc., Cary, NC.
    • (1999) SAS/STAT User's Guide
  • 4
    • 33846072206 scopus 로고    scopus 로고
    • Ward Systems Group, Ward Systems Group, Frederick, MD
    • Ward Systems Group. 2000. AI Triology. Ward Systems Group, Frederick, MD.
    • (2000) AI Triology
  • 5
    • 0027453744 scopus 로고
    • Development of predictive models of laboratory animal growth using artificial neural networks
    • Yee, D., M. G. Prior, and L. Z. Florence. 1993. Development of predictive models of laboratory animal growth using artificial neural networks. Comput. Appl. Biosci. 9:517-522.
    • (1993) Comput. Appl. Biosci , vol.9 , pp. 517-522
    • Yee, D.1    Prior, M.G.2    Florence, L.Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.