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Volumn , Issue , 2006, Pages 347-367

Hybrid evolutionary algorithm for rule set discovery in time-series data to forecast and explain algal population dynamics in two lakes different in morphometry and eutrophication

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EID: 84895298387     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/3-540-28426-5_17     Document Type: Chapter
Times cited : (18)

References (26)
  • 3
    • 31444434933 scopus 로고    scopus 로고
    • Evolving rules for the prediction and explanation of bluegreen algal succession in lakes by evolutionary computation
    • Recknagel, F. (ed.) Springer-Verlag Berlin, Heidelberg, New York
    • Bobbin J, Recknagel F (2003) Evolving rules for the prediction and explanation of bluegreen algal succession in lakes by evolutionary computation. In: Recknagel, F. (ed.), 2003. Ecological Informatics. Understanding Ecology by Biologically-Inspired Computation. Springer-Verlag Berlin, Heidelberg, New York, 291-310
    • (2003) 2003. Ecological Informatics. Understanding Ecology by Biologically-Inspired Computation , pp. 291-310
    • Bobbin, J.1    Recknagel, F.2
  • 6
    • 0035669752 scopus 로고    scopus 로고
    • Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network
    • Jeong KS, Joo GJ, Kim HW, Ha K, Recknagel F (2001) Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network. Ecological Modelling. 146, 115-129
    • (2001) Ecological Modelling. , vol.146 , pp. 115-129
    • Jeong, K.S.1    Joo, G.J.2    Kim, H.W.3    Ha, K.4    Recknagel, F.5
  • 7
    • 0037370352 scopus 로고    scopus 로고
    • Modeling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approach
    • Jeong KS, Kim DK, Whigham P, Joo GJ, 2003. Modeling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approach. Ecological Moddelling. 161, 67-78
    • (2003) Ecological Moddelling. , vol.161 , pp. 67-78
    • Jeong, K.S.1    Kim, D.K.2    Whigham, P.3    Joo, G.J.4
  • 8
    • 0034308332 scopus 로고    scopus 로고
    • Effects of the summer monsoon on the distribution and loading of organic carbon in a deep reservoir, Lake Soyang, Korea
    • Kim B, Choi K, Kim C, Lee YH (2000) Effects of the summer monsoon on the distribution and loading of organic carbon in a deep reservoir, Lake Soyang, Korea. Water Research 34, 14, 3495-3504
    • (2000) Water Research , vol.34 , Issue.14 , pp. 3495-3504
    • Kim, B.1    Choi, K.2    Kim, C.3    Lee, Y.H.4
  • 11
    • 0001827335 scopus 로고    scopus 로고
    • Time series prediction by using negatively correlated neural networks
    • Springer-Verlag, Berlin
    • Liu Y, Yao X (1999) Time series prediction by using negatively correlated neural networks. Lecture Notes in Artificial Intelligence. vol. 1585. Springer-Verlag, Berlin, pp. 325-332
    • (1999) Lecture Notes in Artificial Intelligence. , vol.1585 , pp. 325-332
    • Liu, Y.1    Yao, X.2
  • 13
    • 0042327060 scopus 로고
    • Phosphorus utilisation of Asterionella formosa Hass
    • Mackereth FJH (1953) Phosphorus utilisation of Asterionella formosa Hass. Journal of Experimental Botany 4, 296-313
    • (1953) Journal of Experimental Botany , vol.4 , pp. 296-313
    • MacKereth, F.J.H.1
  • 14
    • 0031933254 scopus 로고    scopus 로고
    • Use of artificial neural networks for modeling cyanobacteria anabaena spp. in the River Murray, South Australia
    • Maier HR, Dandy GC, Burch MD (1998) Use of artificial neural networks for modeling cyanobacteria anabaena spp. in the River Murray, South Australia. Ecol. Model. 105, 257-272
    • (1998) Ecol. Model. , vol.105 , pp. 257-272
    • Maier, H.R.1    Dandy, G.C.2    Burch, M.D.3
  • 16
    • 0030619529 scopus 로고    scopus 로고
    • Artificial neural network approach for modeling and prediction of algal blooms
    • Recknagel F, French M, Harkonen P, Yabunaka K (1997) Artificial neural network approach for modeling and prediction of algal blooms. Ecological Moddelling. 96,1-3,11-28
    • (1997) Ecological Moddelling. , vol.96 , Issue.1-3 , pp. 11-28
    • Recknagel, F.1    French, M.2    Harkonen, P.3    Yabunaka, K.4
  • 17
    • 0030809170 scopus 로고    scopus 로고
    • ANNA-Artificial neural network model predicting species abundance and succession of blue-green Algae
    • Recknagel F (1997) ANNA-Artificial neural network model predicting species abundance and succession of blue-green Algae. Hydrobiologia, 349, 47-57
    • (1997) Hydrobiologia , vol.349 , pp. 47-57
    • Recknagel, F.1
  • 19
    • 0346591063 scopus 로고    scopus 로고
    • Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes
    • Recknagel F, Bobbin J, Whigham P, Wilson H (2002) Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes. Journal of Hydroinformatics 4, 2, 125-134
    • (2002) Journal of Hydroinformatics , vol.4 , Issue.2 , pp. 125-134
    • Recknagel, F.1    Bobbin, J.2    Whigham, P.3    Wilson, H.4
  • 21
    • 0002682142 scopus 로고
    • Current beliefs regarding dominance of by blue-greens: The case for the importance of CO2 and pH
    • Shapiro J (1990) Current beliefs regarding dominance of by blue-greens: the case for the importance of CO2 and pH. Verh. Int. Verein. Limnol. 24, 38-54
    • (1990) Verh. Int. Verein. Limnol. , vol.24 , pp. 38-54
    • Shapiro, J.1
  • 23
    • 0035669859 scopus 로고    scopus 로고
    • Predicting Chl.A in freshwater lakes by hybridising process-based models and genetic algorithms
    • Whigham PA, Recknagel F (2001) Predicting Chl.a in freshwater lakes by hybridising process-based models and genetic algorithms. Ecological Modelling. 146, 243-251
    • (2001) Ecological Modelling. , vol.146 , pp. 243-251
    • Whigham, P.A.1    Recknagel, F.2
  • 24
    • 0035669679 scopus 로고    scopus 로고
    • An inductive approach to ecological time series modelling by evolutionary computation
    • Whigham PA, Recknagel F (2001) An inductive approach to ecological time series modelling by evolutionary computation. Ecological Modelling. 146, 275-287
    • (2001) Ecological Modelling. , vol.146 , pp. 275-287
    • Whigham, P.A.1    Recknagel, F.2
  • 25
    • 84895296128 scopus 로고    scopus 로고
    • A generic artificial neural network model for dynamic predictions of algal abundance in freshwater lakes
    • Recknagel, F. (ed.) Springer-Verlag Berlin, Heidelberg, New York
    • Wilson H, Recknagel F (2003) A generic artificial neural network model for dynamic predictions of algal abundance in freshwater lakes. In: Recknagel, F. (ed.), 2003. Ecological Informatics. Understanding Ecology by Biologically-Inspired Computation. Springer-Verlag Berlin, Heidelberg, New York, 265-287
    • (2003) 2003. Ecological Informatics. Understanding Ecology by Biologically-Inspired Computation , pp. 265-287
    • Wilson, H.1    Recknagel, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.