메뉴 건너뛰기




Volumn 26, Issue 2, 1999, Pages 165-176

Predicting pickle harvests using a parametric feedforward neural network

Author keywords

[No Author keywords available]

Indexed keywords


EID: 1542605942     PISSN: 02664763     EISSN: None     Source Type: Journal    
DOI: 10.1080/02664769922502     Document Type: Article
Times cited : (4)

References (24)
  • 2
    • 1542528770 scopus 로고
    • Kalamazoo, MI, Asgrow Seed Company
    • ASGROW SEED COMPANY (1983) Modern Cucumber Technology (Kalamazoo, MI, Asgrow Seed Company).
    • (1983) Modern Cucumber Technology
  • 3
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • FUNAHASHI, K. (1989) On the approximate realization of continuous mappings by neural networks, Neural Networks, 2, pp. 183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 7
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • HORNIK, K. (1989) Multilayer feedforward networks are universal approximators, Neural Networks, 2, pp. 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1
  • 8
    • 85034543739 scopus 로고    scopus 로고
    • Personal Interview
    • KEE, W. E. (1997) Personal Interview.
    • (1997)
    • Kee, W.E.1
  • 9
    • 43949168783 scopus 로고
    • Testing for neglected non-linearity in time series models: A comparison of neural network methods and alternative tests
    • LEE, T.-H., WHITE, H. & GRANGER, C. W. J. (1993) Testing for neglected non-linearity in time series models: a comparison of neural network methods and alternative tests, Journal of Econometrics, 56, pp. 269-290.
    • (1993) Journal of Econometrics , vol.56 , pp. 269-290
    • Lee, T.-H.1    White, H.2    Granger, C.W.J.3
  • 10
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • April 1987
    • LIPPMANN, R. P. (1987) An introduction to computing with neural nets, IEEE ASSP Magazine, April 1987, pp. 4-20.
    • (1987) IEEE ASSP Magazine , pp. 4-20
    • Lippmann, R.P.1
  • 12
    • 85034564376 scopus 로고    scopus 로고
    • Technical Report, National Oceanic and Atmospheric Administration
    • NATIONAL CLIMATIC DATA CENTER (1996a) Delaware Monthly Local Climatological Data, Technical Report, National Oceanic and Atmospheric Administration.
    • (1996) Delaware Monthly Local Climatological Data
  • 13
    • 85034564376 scopus 로고    scopus 로고
    • Technical Report, National Oceanic and Atmospheric Administration
    • NATIONAL CLIMATIC DATA CENTER (1996b) Maryland Monthly Local Climatological Data, Technical Report, National Oceanic and Atmospheric Administration.
    • (1996) Maryland Monthly Local Climatological Data
  • 15
    • 0342779850 scopus 로고
    • Prediction of cucumber harvest date using a heat unit model
    • PERRY, K. B. & WEHNER, T. C. (1990) Prediction of cucumber harvest date using a heat unit model, Horticultural Science, 25, pp. 405-406.
    • (1990) Horticultural Science , vol.25 , pp. 405-406
    • Perry, K.B.1    Wehner, T.C.2
  • 16
    • 0030024495 scopus 로고    scopus 로고
    • A heat unit accumulation method for predicting cucumber harvest date
    • PERRY, K. B. & WEHNER, T. C. (1996) A heat unit accumulation method for predicting cucumber harvest date, Horticultural Technology, 6, pp. 27-30.
    • (1996) Horticultural Technology , vol.6 , pp. 27-30
    • Perry, K.B.1    Wehner, T.C.2
  • 17
    • 0001013332 scopus 로고
    • Comparison of 14 methods to determine heat unit requirements for cucumber harvest
    • PERRY, K. B., WEHNER, T. C. & JOHNSON, G. L. (1986) Comparison of 14 methods to determine heat unit requirements for cucumber harvest, Horticultural Science, 21, pp. 419-423.
    • (1986) Horticultural Science , vol.21 , pp. 419-423
    • Perry, K.B.1    Wehner, T.C.2    Johnson, G.L.3
  • 18
    • 0002983776 scopus 로고
    • Statistical aspects of neural networks
    • O. E. BARNDORFF-NIELSEN, J. L. JENSEN & W. S. KENDALL (London, Chapman and Hall)
    • RIPLEY, B. D. (1993) Statistical aspects of neural networks. In: O. E. BARNDORFF-NIELSEN, J. L. JENSEN & W. S. KENDALL Networks and Chaos - Statistical and Probabilistic Aspects, pp. 40-123 (London, Chapman and Hall).
    • (1993) Networks and Chaos - Statistical and Probabilistic Aspects , pp. 40-123
    • Ripley, B.D.1
  • 19
    • 84958317948 scopus 로고
    • Neural networks and flexible regression and discrimination
    • K. V. MARDIA (Ed) (Abingdon, Carfax)
    • RIPLEY, B. D. (1994) Neural networks and flexible regression and discrimination. In: K. V. MARDIA (Ed) Advances in Applied Statistics - Statistics and Images: 2, pp. 39-57 (Abingdon, Carfax).
    • (1994) Advances in Applied Statistics - Statistics and Images , vol.2 , pp. 39-57
    • Ripley, B.D.1
  • 21
    • 85034541924 scopus 로고    scopus 로고
    • Personal Interview
    • STEVENS, R. (1996) Personal Interview.
    • (1996)
    • Stevens, R.1
  • 22
    • 0003589181 scopus 로고
    • Technical Report 52, United States Department of Agriculture, Section 52
    • USDA (1991) United States Standards for Grades of Pickles, Technical Report 52, United States Department of Agriculture, Section 52.
    • (1991) United States Standards for Grades of Pickles
  • 24
    • 0025635525 scopus 로고
    • Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings
    • WHITE, H. (1990) Connectionist nonparametric regression: multilayer feedforward networks can learn arbitrary mappings, Neural Networks, 3, pp. 535-549.
    • (1990) Neural Networks , vol.3 , pp. 535-549
    • White, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.