메뉴 건너뛰기




Volumn 67, Issue 3, 2005, Pages 382-389

Using an artificial neural network to patternize long-term fisheries data from South Korea

Author keywords

Artificial neural networks; Fisheries; Self organizing map; South Korea

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DATA; FISHERY;

EID: 25444522205     PISSN: 10151621     EISSN: 14209055     Source Type: Journal    
DOI: 10.1007/s00027-005-0771-8     Document Type: Article
Times cited : (19)

References (27)
  • 1
    • 0033578361 scopus 로고    scopus 로고
    • Microsatellites and artificial neural networks: Tools for the discrimination between natural and hatchery brown trout (Salmo trutta, L.) in Atlantic populations
    • Aurelle, D., S. Lek, J. Giraudel and P. Berrebi, 1999. Microsatellites and artificial neural networks: tools for the discrimination between natural and hatchery brown trout (Salmo trutta, L.) in Atlantic populations. Ecological Modelling 120: 313-324.
    • (1999) Ecological Modelling , vol.120 , pp. 313-324
    • Aurelle, D.1    Lek, S.2    Giraudel, J.3    Berrebi, P.4
  • 2
    • 0033578403 scopus 로고    scopus 로고
    • Modeling primary production in a coastal embayment affected by upwelling using dynamic ecosystem models and artificial neural networks
    • Barciela, R. M., E. Garcia and E. Fernandez, 1999. Modeling primary production in a coastal embayment affected by upwelling using dynamic ecosystem models and artificial neural networks. Ecological Modelling 120: 199-211.
    • (1999) Ecological Modelling , vol.120 , pp. 199-211
    • Barciela, R.M.1    Garcia, E.2    Fernandez, E.3
  • 3
    • 11944270006 scopus 로고    scopus 로고
    • Predicting presence of fish species in the Seine River Using Artificial Neuronal Networks
    • S. Lek and J.-F. Guegan, eds. Springer Verlag
    • Boet, P. and T. Fuhs, 1999. Predicting presence of fish species in the Seine River Using Artificial Neuronal Networks. Pages 131-142 in S. Lek and J.-F. Guegan, eds. Artificial Neuronal Networks, Applications to Ecology and Evolution. Springer Verlag.
    • (1999) Artificial Neuronal Networks, Applications to Ecology and Evolution , pp. 131-142
    • Boet, P.1    Fuhs, T.2
  • 4
    • 0345257833 scopus 로고    scopus 로고
    • Depleting Fish Resources. Declining Fishing Communities, and the State Revitalization Project in Korea
    • Springer-Verlag. New York
    • Cheong, S. M., 2003. Depleting Fish Resources. Declining Fishing Communities, and the State Revitalization Project in Korea. Environmental Management. Springer-Verlag. New York.
    • (2003) Environmental Management
    • Cheong, S.M.1
  • 5
    • 0030426363 scopus 로고    scopus 로고
    • Patternizing communities by using an artificial neural network
    • Chon, T. S., Y. S. Park, K. H. Moon and E. Y. Cha, 1996. Patternizing communities by using an artificial neural network. Ecological Modelling 90: 69-78.
    • (1996) Ecological Modelling , vol.90 , pp. 69-78
    • Chon, T.S.1    Park, Y.S.2    Moon, K.H.3    Cha, E.Y.4
  • 6
    • 0034734108 scopus 로고    scopus 로고
    • Determining temporal pattern of community dynamics by using unsupervised learning algorithms
    • Chon. T. S., Y. S. Park and J. H. Park, 2000. Determining temporal pattern of community dynamics by using unsupervised learning algorithms. Ecological Modelling 132: 151-166.
    • (2000) Ecological Modelling , vol.132 , pp. 151-166
    • Chon, T.S.1    Park, Y.S.2    Park, J.H.3
  • 7
    • 84895314890 scopus 로고    scopus 로고
    • Performance Comparison between Regression and Neuronal network Models for Forecasting Pacific Sardine (Sardinops caeruelus) Biomass
    • S. Lek and J-F. Guegan, eds. Springer Verlag
    • Cisneros-Mata, M. A., T. Brey and A. Jarre-Teichmann, 1999. Performance Comparison between Regression and Neuronal network Models for Forecasting Pacific Sardine (Sardinops caeruelus) Biomass. Pages 157-164 in S. Lek and J-F. Guegan, eds. Artificial Neuronal Networks, Applications to Ecology and Evolution. Springer Verlag.
    • (1999) Artificial Neuronal Networks, Applications to Ecology and Evolution , pp. 157-164
    • Cisneros-Mata, M.A.1    Brey, T.2    Jarre-Teichmann, A.3
  • 9
    • 0142052912 scopus 로고    scopus 로고
    • Investigating remote synchronous patterns in fisheries
    • Freon, P., C. Mullon and B. Voisin, 2003. Investigating remote synchronous patterns in fisheries. Fisheries Oceanography 12(4/5): 443-457.
    • (2003) Fisheries Oceanography , vol.12 , Issue.4-5 , pp. 443-457
    • Freon, P.1    Mullon, C.2    Voisin, B.3
  • 11
    • 0036862959 scopus 로고    scopus 로고
    • Stock size fluctuations in chub mackerel (Scomber japonicus) in the East China Sea and the Japan/East Sea
    • Hiyama, Y., M. Yoda and S. Ohshimo, 2002. Stock size fluctuations in chub mackerel (Scomber japonicus) in the East China Sea and the Japan/East Sea. Fisheries Oceanography 11(6): 347-353.
    • (2002) Fisheries Oceanography , vol.11 , Issue.6 , pp. 347-353
    • Hiyama, Y.1    Yoda, M.2    Ohshimo, S.3
  • 12
    • 0029479186 scopus 로고
    • Marine Policy in the Republic of Korea
    • Hong, S. Y., 1995. Marine Policy in the Republic of Korea. Marine Policy 19: 97-113.
    • (1995) Marine Policy , vol.19 , pp. 97-113
    • Hong, S.Y.1
  • 13
    • 0033744846 scopus 로고    scopus 로고
    • Changes in ecosystem components induced by climate variability off the eastern coast of the Korean Peninsula during 1960-1990
    • Kang, S., S. Kim and S. Bae, 2000. Changes in ecosystem components induced by climate variability off the eastern coast of the Korean Peninsula during 1960-1990. Progress in Oceanography 47: 205-222.
    • (2000) Progress in Oceanography , vol.47 , pp. 205-222
    • Kang, S.1    Kim, S.2    Bae, S.3
  • 14
    • 0037357620 scopus 로고    scopus 로고
    • The UN convention on the law of the sea and new fisheries agreements in north East Asia
    • Kim, S. P., 2003. The UN convention on the law of the sea and new fisheries agreements in north East Asia. Marine Policy 27: 97-109.
    • (2003) Marine Policy , vol.27 , pp. 97-109
    • Kim, S.P.1
  • 15
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • Kohonen, T., 1989. Self-organized formation of topologically correct feature maps. Biol Cybern. 43: 59-69.
    • (1989) Biol Cybern. , vol.43 , pp. 59-69
    • Kohonen, T.1
  • 17
    • 0033578393 scopus 로고    scopus 로고
    • Predicting fish yield of African lakes using neural networks
    • Lae, R., S. Lek and J. Moreau, 1999. Predicting fish yield of African lakes using neural networks. Ecological Modelling 120: 325-335.
    • (1999) Ecological Modelling , vol.120 , pp. 325-335
    • Lae, R.1    Lek, S.2    Moreau, J.3
  • 18
    • 0344604541 scopus 로고    scopus 로고
    • Artificial neural networks as a tool in ecological modeling, an introduction
    • Lek, S. and J. F. Guegan, 1999. Artificial neural networks as a tool in ecological modeling, an introduction. Ecological Modelling 120: 65-73.
    • (1999) Ecological Modelling , vol.120 , pp. 65-73
    • Lek, S.1    Guegan, J.F.2
  • 21
    • 0242500410 scopus 로고    scopus 로고
    • Patterning and predicting aquatic macroinvertebrate diversities using artificial neural network
    • Park, Y. S., P. Verdonschot, T. S. Chon and S. Lek, 2003. Patterning and predicting aquatic macroinvertebrate diversities using artificial neural network. Water Research 37: 1749-1758.
    • (2003) Water Research , vol.37 , pp. 1749-1758
    • Park, Y.S.1    Verdonschot, P.2    Chon, T.S.3    Lek, S.4
  • 22
    • 0035673819 scopus 로고    scopus 로고
    • Advances in neural network modeling of phytoplankton primary production
    • Scardi, M., 2001. Advances in neural network modeling of phytoplankton primary production. Ecological Modelling 146: 33-45.
    • (2001) Ecological Modelling , vol.146 , pp. 33-45
    • Scardi, M.1
  • 23
    • 0033578446 scopus 로고    scopus 로고
    • Developing an empirical model of phytoplankton primary production: A neural network case study
    • Scardi, M. and L. Harding, 1999. Developing an empirical model of phytoplankton primary production: a neural network case study. Ecological Modelling 120: 213-233.
    • (1999) Ecological Modelling , vol.120 , pp. 213-233
    • Scardi, M.1    Harding, L.2
  • 24
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward, J. H., 1963. Hierarchical grouping to optimize an objective function. J. Amer. Statist. Assoc. 58: 236-244.
    • (1963) J. Amer. Statist. Assoc. , vol.58 , pp. 236-244
    • Ward, J.H.1
  • 25
    • 0000814232 scopus 로고    scopus 로고
    • Korean financial crisis during 1997-1998: Causes and challenges
    • Yoo, J. H. and C. W. Moon, 1999. Korean financial crisis during 1997-1998: Causes and challenges. Journal of Asian Economics 10: 263-177.
    • (1999) Journal of Asian Economics , vol.10 , pp. 263-1177
    • Yoo, J.H.1    Moon, C.W.2
  • 26
    • 0033734331 scopus 로고    scopus 로고
    • Climatic regime shifts and their impacts on marine ecosystem and fisheries resources in Korean waters
    • Zhang, C. I., J. B. Lee, S. Kim and J. Oh, 2000. Climatic regime shifts and their impacts on marine ecosystem and fisheries resources in Korean waters. Progress in Oceanography 47: 171-190.
    • (2000) Progress in Oceanography , vol.47 , pp. 171-190
    • Zhang, C.I.1    Lee, J.B.2    Kim, S.3    Oh, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.