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Volumn 195, Issue 1-2, 2006, Pages 20-29

Genetic algorithms for optimisation of predictive ecosystems models based on decision trees and neural networks

Author keywords

Genetic algorithm; Machine learning techniques; Macroinvertebrates; Predictive modelling; Variable selection

Indexed keywords

ECOLOGY; GENETIC ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; TOXICITY;

EID: 33646143005     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2005.11.005     Document Type: Article
Times cited : (75)

References (32)
  • 3
    • 84973587732 scopus 로고
    • A coefficient of agreement for nominal scales
    • Cohen J. A coefficient of agreement for nominal scales. Education. Psychol. Measure. 20 1 (1960) 37-46
    • (1960) Education. Psychol. Measure. , vol.20 , Issue.1 , pp. 37-46
    • Cohen, J.1
  • 4
    • 33646144943 scopus 로고    scopus 로고
    • Dakou, E., D'heygere, T., Gabriëls, W., Goethals, P.L.M., De Pauw, N., Lazaridou-Dimitriadou, M., 2002. Comparison of different model development techniques on the Axios and Aliakmonas rivers (Greece). Ecosystems, submitted for publication.
  • 5
    • 0013400198 scopus 로고    scopus 로고
    • Comparison of artificial neural network (ANN) model development methods for prediction of macroinvertebrates communities in the Zwalm river basin in Flanders, Belgium
    • Dedecker A.P., Goethals P.L.M., Gabriëls W., and De Pauw N. Comparison of artificial neural network (ANN) model development methods for prediction of macroinvertebrates communities in the Zwalm river basin in Flanders, Belgium. Scientific World J. 2 (2002) 96-104
    • (2002) Scientific World J. , vol.2 , pp. 96-104
    • Dedecker, A.P.1    Goethals, P.L.M.2    Gabriëls, W.3    De Pauw, N.4
  • 6
    • 0020874018 scopus 로고
    • Method for biological quality assessment of watercourses in Belgium
    • De Pauw N., and Vanhooren G. Method for biological quality assessment of watercourses in Belgium. Hydrobiologia 100 (1983) 153-168
    • (1983) Hydrobiologia , vol.100 , pp. 153-168
    • De Pauw, N.1    Vanhooren, G.2
  • 7
    • 0034858869 scopus 로고    scopus 로고
    • Biotic index for sediment quality assessment of watercourses in Flanders, Belgium
    • De Pauw N., and Heylen S. Biotic index for sediment quality assessment of watercourses in Flanders, Belgium. Aquat. Ecol. 35 (2001) 121-133
    • (2001) Aquat. Ecol. , vol.35 , pp. 121-133
    • De Pauw, N.1    Heylen, S.2
  • 8
    • 0037442548 scopus 로고    scopus 로고
    • Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates
    • D'heygere T., Goethals P.L.M., and De Pauw N. Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates. Ecol. Model. 160 (2003) 291-300
    • (2003) Ecol. Model. , vol.160 , pp. 291-300
    • D'heygere, T.1    Goethals, P.L.M.2    De Pauw, N.3
  • 9
    • 33646144549 scopus 로고    scopus 로고
    • D'heygere, T., Goethals, P.L.M., De Pauw, N., 2003b. Use of genetic algorithms to select input variables in Artificial Neural Networks for the prediction of benthic macroinvertebrates. Aquat. Ecol., submitted for publication.
  • 10
    • 0030953391 scopus 로고    scopus 로고
    • A review of methods for the assessment of prediction errors in conservation presence/absence models
    • Fielding A.H., and Bell J.F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24 (1997) 38-49
    • (1997) Environ. Conserv. , vol.24 , pp. 38-49
    • Fielding, A.H.1    Bell, J.F.2
  • 11
    • 0036073254 scopus 로고    scopus 로고
    • Development of a concept for integrated river assessment in Flanders, Belgium
    • Goethals P.L.M., and De Pauw N. Development of a concept for integrated river assessment in Flanders, Belgium. J. Limnol. 60 1 (2001) 7-16
    • (2001) J. Limnol. , vol.60 , Issue.1 , pp. 7-16
    • Goethals, P.L.M.1    De Pauw, N.2
  • 14
    • 0030069896 scopus 로고    scopus 로고
    • Multivariate prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • Harrell F.E., Lee K.L., and Mark D.B. Multivariate prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat. Med. 15 (1996) 361-387
    • (1996) Stat. Med. , vol.15 , pp. 361-387
    • Harrell, F.E.1    Lee, K.L.2    Mark, D.B.3
  • 16
    • 33646135171 scopus 로고    scopus 로고
    • John, G.H., 1997. Enhancements to the data mining process. PhD Dissertation, Computer Science Department, Stanford University.
  • 17
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R., and John G.H. Wrappers for feature subset selection. Artif. Intell. J. 97 1-2 (1997) 273-324
    • (1997) Artif. Intell. J. , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 18
    • 0030428001 scopus 로고    scopus 로고
    • Application of neural networks to modelling non linear relationships in ecology
    • Lek S., Delacoste M., Baran P., Dimopoulos I., Lauga J., and Aulagnier S. Application of neural networks to modelling non linear relationships in ecology. Ecol. Model. 90 (1996) 39-52
    • (1996) Ecol. Model. , vol.90 , pp. 39-52
    • Lek, S.1    Delacoste, M.2    Baran, P.3    Dimopoulos, I.4    Lauga, J.5    Aulagnier, S.6
  • 19
    • 0002715112 scopus 로고    scopus 로고
    • A probabilistic approach to feature selection: a filter solution
    • Saitta L. (Ed). Bari, Italy, Morgan Kaufmann, San Francisco
    • Liu H., and Setiono R. A probabilistic approach to feature selection: a filter solution. In: Saitta L. (Ed). Proceedings of the 13th International Conference on Machine Learning. Bari, Italy (1996), Morgan Kaufmann, San Francisco 319-327
    • (1996) Proceedings of the 13th International Conference on Machine Learning , pp. 319-327
    • Liu, H.1    Setiono, R.2
  • 20
    • 0030405597 scopus 로고    scopus 로고
    • Neural network models for forecasting univariate time series
    • Maier H.R., and Dandy G.C. Neural network models for forecasting univariate time series. Neural Netw. World 6 5 (1996) 747-771
    • (1996) Neural Netw. World , vol.6 , Issue.5 , pp. 747-771
    • Maier, H.R.1    Dandy, G.C.2
  • 21
    • 0033957764 scopus 로고    scopus 로고
    • Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
    • Maier H.R., and Dandy G.C. Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environ. Modell. Softw. 15 (2000) 101-124
    • (2000) Environ. Modell. Softw. , vol.15 , pp. 101-124
    • Maier, H.R.1    Dandy, G.C.2
  • 22
    • 0032694546 scopus 로고    scopus 로고
    • Alternative methods for predicting species distribution: an illustration with Himalayan river birds
    • Manel S., Dias J.M., Buckton S.T., and Ormerod S.J. Alternative methods for predicting species distribution: an illustration with Himalayan river birds. J. Appl. Ecol. 36 (1999) 734-747
    • (1999) J. Appl. Ecol. , vol.36 , pp. 734-747
    • Manel, S.1    Dias, J.M.2    Buckton, S.T.3    Ormerod, S.J.4
  • 23
    • 0034770214 scopus 로고    scopus 로고
    • Evaluating presence-absence models in ecology: the need to account for prevalence
    • Manel S., Williams H.C., and Ormerod S.J. Evaluating presence-absence models in ecology: the need to account for prevalence. J. Appl. Ecol. 38 (2001) 921-931
    • (2001) J. Appl. Ecol. , vol.38 , pp. 921-931
    • Manel, S.1    Williams, H.C.2    Ormerod, S.J.3
  • 24
    • 33646132825 scopus 로고    scopus 로고
    • Ministry of the Flemish Community, 2000. Manual for the characterisation of sediments in Flemish watercourses through the TRIAD approach, second revised print. Administration Environment, Nature, Land and Water management (AMINAL), in cooperation with the Flemish Environment Agency (VMM), Brussels, Belgium, 95 pp. (+ appendices, in Dutch).
  • 25
  • 26
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan J.R. Induction of decision trees. Mach. Learn. 1 1 (1986) 81-106
    • (1986) Mach. Learn. , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 28
    • 0035676249 scopus 로고    scopus 로고
    • Applications of machine learning to ecological modeling
    • Recknagel F. Applications of machine learning to ecological modeling. Ecol. Model. 146 (2001) 303-310
    • (2001) Ecol. Model. , vol.146 , pp. 303-310
    • Recknagel, F.1
  • 29
    • 0022471098 scopus 로고
    • Learning representations by back-propagation errors
    • Rumelhart D.E., Hinton G.E., and Williams R.J. Learning representations by back-propagation errors. Nature 323 (1986) 533-536
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 30
    • 0033578421 scopus 로고    scopus 로고
    • Modelling water quality, bioindication and population dynamics in lotic ecosystems using neural networks
    • Schleiter I.M., Borchardt D., Wagner R., Dapper T., Schmidt K., Schmidt H., and Werner H. Modelling water quality, bioindication and population dynamics in lotic ecosystems using neural networks. Ecol. Model. 120 (1999) 271-286
    • (1999) Ecol. Model. , vol.120 , pp. 271-286
    • Schleiter, I.M.1    Borchardt, D.2    Wagner, R.3    Dapper, T.4    Schmidt, K.5    Schmidt, H.6    Werner, H.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.