176
T.-S. Chan· Y.S. Park· I.-S. Kwak . E.Y. Cha
J~rgensen SE, Nielsen SN, Mejer HF (1995) Emergy, environ exergy and ecological
modeling. Ecol. Model., 77, 99-109
Kamgar-Parsi B, Gualtieri JA, Devancy JE, Kamgar-Parsi B (1990) Clustering with neural
networks. Biol. Cybern., 63, 201-208
Kang DH, Chon TS, Park YS (1995) Monthly changes in benthic macroinvertebrate
communities in different saprobities in the Suyong and Soktae streams of the Suyong
river. Korean 1. Ecol., 18, 157-177
Kohonen T (1989) Se1f-organization and associative memory. Springer-Verlag, Berlin, 312
pp
Kung SY (1993) Digital Neural Networks. Prentice Hall, Englewood Cliffs, New Jersey,
444 pp
Kwon TS, Chon TS (1993) Ecological studies on benthic macroinvertebrates in the Suyong
River. III. Water quality estimations using chemical and biological indices. Kor. 1.
Lirnnol.,26, 105-128
Legendre P, Legendre L (1987) Developments in numerical ecology. Springer-Verlag,
Berlin 585 pp
Legendre P (1987) Constrained clustering. In: Legendre, P. and Legendre, L. (Eds.),
Developments in numerical ecology. Springer-Verlag, Berlin. Germany, 289-307 pp
Legendre P, Dallot S, Legendre L (1985) Sucession of species within a community:
chronological clustering, with applications to marine and freshwater zooplankton. Am.
Nat., 125, 257-288
Lek S, Guegan JF (1999) Artificial neural networks as a tool in ecological modelling, an
introduction. Ecol. Model., 120, 65-73
Lek S, Guegan JF (2000) Neuronal Networks: Aigorithms and Architectures for Ecologists
and Evolutionary Ecologists. In: Lek, S. and Guegan, 1.F. (Eds.), Artificial Neuronal
Networks: Application to Ecology and Evolution. Springer-Verlag, Berlin, pp. 3-27
Lek S, Delacoste M, Baran P, Dimopoulos I, Lauga J, Aulagnier S (1996) Application of
neural networks to modelling nonlinear relationships in ecology. Ecol. Model., 90, 3952
Levine ER, Kimes DS, Sigillito VG (1996) Classifying soi! structure using neural networks.
Ecol. Model., 92, 101-108
Lippmann RP (1987) An Introduction to computing with neural nets. IEEE ASSP
Magazine, April. pp. 4-22
Lohninger H, Stanc F (1992) Comparing the performance of neural networks to wellestablished methods of multivariate data analysis: the classification of mass spectral
data. Fresenius 1. Anal. Chem., 344, 186-189
Ludwig JA, Reynolds JF (1988) Statistical ecology: a primer on methods and computing.
John Wiley and Sons, New York, 329 pp
McCulloch WS, Pitts W (1943) A logical calculus of the ideas imminent in nervous
activity, Bulletin ofMathematical Biophysics, 5,115-133
Melssen WJ, Smits JRM, Rolf GH, Kateman G (1993) Two-dimensional mapping of IR
spectra using a parallel implemented self-organising feature map. Chemometrics and
Intelligent Laboratory Systems, 18, 195-204
Norusis MJ (1986) SPSSIPC+ advanced statistics. SPSS inc., Chicago
O'Neill RN, DeAngelis DL, Waide JB, Allen TFH (1986) A hierarchical concept of
ecosystems. Princeton University Press, Princeton, 253 pp
Pao YH (1989) Adaptive pattern recognition and neural networks. Addison-Wesley
Publishing Company, Inc., New York, 309 pp
T.-S. Chan· Y.S. Park· I.-S. Kwak . E.Y. Cha
J~rgensen SE, Nielsen SN, Mejer HF (1995) Emergy, environ exergy and ecological
modeling. Ecol. Model., 77, 99-109
Kamgar-Parsi B, Gualtieri JA, Devancy JE, Kamgar-Parsi B (1990) Clustering with neural
networks. Biol. Cybern., 63, 201-208
Kang DH, Chon TS, Park YS (1995) Monthly changes in benthic macroinvertebrate
communities in different saprobities in the Suyong and Soktae streams of the Suyong
river. Korean 1. Ecol., 18, 157-177
Kohonen T (1989) Se1f-organization and associative memory. Springer-Verlag, Berlin, 312
pp
Kung SY (1993) Digital Neural Networks. Prentice Hall, Englewood Cliffs, New Jersey,
444 pp
Kwon TS, Chon TS (1993) Ecological studies on benthic macroinvertebrates in the Suyong
River. III. Water quality estimations using chemical and biological indices. Kor. 1.
Lirnnol.,26, 105-128
Legendre P, Legendre L (1987) Developments in numerical ecology. Springer-Verlag,
Berlin 585 pp
Legendre P (1987) Constrained clustering. In: Legendre, P. and Legendre, L. (Eds.),
Developments in numerical ecology. Springer-Verlag, Berlin. Germany, 289-307 pp
Legendre P, Dallot S, Legendre L (1985) Sucession of species within a community:
chronological clustering, with applications to marine and freshwater zooplankton. Am.
Nat., 125, 257-288
Lek S, Guegan JF (1999) Artificial neural networks as a tool in ecological modelling, an
introduction. Ecol. Model., 120, 65-73
Lek S, Guegan JF (2000) Neuronal Networks: Aigorithms and Architectures for Ecologists
and Evolutionary Ecologists. In: Lek, S. and Guegan, 1.F. (Eds.), Artificial Neuronal
Networks: Application to Ecology and Evolution. Springer-Verlag, Berlin, pp. 3-27
Lek S, Delacoste M, Baran P, Dimopoulos I, Lauga J, Aulagnier S (1996) Application of
neural networks to modelling nonlinear relationships in ecology. Ecol. Model., 90, 3952
Levine ER, Kimes DS, Sigillito VG (1996) Classifying soi! structure using neural networks.
Ecol. Model., 92, 101-108
Lippmann RP (1987) An Introduction to computing with neural nets. IEEE ASSP
Magazine, April. pp. 4-22
Lohninger H, Stanc F (1992) Comparing the performance of neural networks to wellestablished methods of multivariate data analysis: the classification of mass spectral
data. Fresenius 1. Anal. Chem., 344, 186-189
Ludwig JA, Reynolds JF (1988) Statistical ecology: a primer on methods and computing.
John Wiley and Sons, New York, 329 pp
McCulloch WS, Pitts W (1943) A logical calculus of the ideas imminent in nervous
activity, Bulletin ofMathematical Biophysics, 5,115-133
Melssen WJ, Smits JRM, Rolf GH, Kateman G (1993) Two-dimensional mapping of IR
spectra using a parallel implemented self-organising feature map. Chemometrics and
Intelligent Laboratory Systems, 18, 195-204
Norusis MJ (1986) SPSSIPC+ advanced statistics. SPSS inc., Chicago
O'Neill RN, DeAngelis DL, Waide JB, Allen TFH (1986) A hierarchical concept of
ecosystems. Princeton University Press, Princeton, 253 pp
Pao YH (1989) Adaptive pattern recognition and neural networks. Addison-Wesley
Publishing Company, Inc., New York, 309 pp