Chapter 8· Analysis of Stream Macroinvertebrate Communities
175
Cummins KW, Petersen RC, Howard FO, Wuycheck JC, Holt VI (1973) The utilization of
leaf litter by stream detritovores. Ecology, 54, 336-345
Dimopoulos Y, Bourret P, Lek S (1995) Use of some sensitivity criteria for choosing
networks with good generalization ability. Neural Processing Letters, 2,1-4
Elizondo DA, McClendon RW, Hoongenboom G (1994) Neural network models for
predicting flowering and physiological maturity of soybean. Transactions of the
ASAE, 37, 981-988
Elman JL (1990) Finding structure in time. Cognitive Science, 14, 179-211
Fonseca JC, Marques JC, Paiva AA, Freitas AM, Madeira VMC, J~rgensen SE (2000)
Nuclear DNA in the determination of weighing factors to estimate exergy from
organisms biomass. Ecol. Model., 126, 179-189
Foody GM (1999) Applications of the self-organising feature map neural network in
community data analysis. Ecol. Model., 120,97-107
Giles CL, Kuhn GM, Williarns RJ (1994) Dynarnic recurrent neural networks: theory and
applications. IEEE Transactions on Neural Networks, 5 153-156
Giraudel JL, Aurelle D, Berrebi P, Lek S (2000) Application of the self-organising mapping
and fuzzy clustering to microsatellite data: How to detect genetic structure in brown
trout (Salmo trutta) populations. In: Lek, S. and Guegan, J.F. (Eds.), Artificial
Neuronal Networks: Application to Ecology and Evolution. Springer-Verlag, Berlin,
pp. 187-202
Grossberg S (1969) On the production and release of chemical transmitters and related
topics in the cellular control. J. Theor. Biol., 22, 325-364
Grossberg S (1982) Studies of Mind and Brain: Neural Principals of Learning, Perception,
Development, Cognition, and Motor Control. Reidel Press, Boston
Hauer FR, Lamberti GA (1996) Methods in Stream Ecology. Academic Press, 674 pp
Hawkes HA (1979) Invertebrates as indicators of river water quality. In: James, A. and
Evision, L. (Eds.), Biological indicators of water quality. John Wiley and Sons,
Chishester, Great Britain, pp. 2.1-2.45
Haykin S (1994) Neural Networks. Macmillian College Publishing Company, 696 pp
Hecht-Nielsen R (1987) Counter propagation networks. Proc. of the Int. Conf. On Neural
networks, II, 19-32, IEEE Press, New York, June 1987
Hecht-Nielsen R (1990) Neurocomputing. Addison-Wesley, New York, 433 pp
Hellawell JM (1986) Biological indicators of freshwater pollution and environmental
management. Elsevier, London, 546 pp.
Hopfield JJ (1982) Neural Networks and Physical Systems with Emergent Collective
Computational Abilities. Proc. Nat!. Acad. Sci. USA, Vol. 79, 2554-2558, April
Huntingford C, Cox PM (1996) Use of statistical and neural network techniques to detect
how stomatal conductance responds to changes in the local environment. Ecol. Model.,
97,217-246
Hynes HBN (1960) The biology ofpolluted waters. Liverpool Univ. Press. London, 202 pp
J~rgensen SE (1992) Parameters, ecological constraints and exergy. Ecol. Model., 62, 163170
J~rgensen SE (1994) Review and comparison of goal functions in system ecology. WIE
MILIEU, 44, 11-20
J~rgensen SE (1995) Exergy and ecological buffer capacities as measures of ecosystem
health. Ecosys. Health, 1, 150-160
J~rgensen SE (1997) Integration of ecosystem theories: A pattern, 2
Dd edition. Kluwer,
Dordrecht, 400 pp
175
Cummins KW, Petersen RC, Howard FO, Wuycheck JC, Holt VI (1973) The utilization of
leaf litter by stream detritovores. Ecology, 54, 336-345
Dimopoulos Y, Bourret P, Lek S (1995) Use of some sensitivity criteria for choosing
networks with good generalization ability. Neural Processing Letters, 2,1-4
Elizondo DA, McClendon RW, Hoongenboom G (1994) Neural network models for
predicting flowering and physiological maturity of soybean. Transactions of the
ASAE, 37, 981-988
Elman JL (1990) Finding structure in time. Cognitive Science, 14, 179-211
Fonseca JC, Marques JC, Paiva AA, Freitas AM, Madeira VMC, J~rgensen SE (2000)
Nuclear DNA in the determination of weighing factors to estimate exergy from
organisms biomass. Ecol. Model., 126, 179-189
Foody GM (1999) Applications of the self-organising feature map neural network in
community data analysis. Ecol. Model., 120,97-107
Giles CL, Kuhn GM, Williarns RJ (1994) Dynarnic recurrent neural networks: theory and
applications. IEEE Transactions on Neural Networks, 5 153-156
Giraudel JL, Aurelle D, Berrebi P, Lek S (2000) Application of the self-organising mapping
and fuzzy clustering to microsatellite data: How to detect genetic structure in brown
trout (Salmo trutta) populations. In: Lek, S. and Guegan, J.F. (Eds.), Artificial
Neuronal Networks: Application to Ecology and Evolution. Springer-Verlag, Berlin,
pp. 187-202
Grossberg S (1969) On the production and release of chemical transmitters and related
topics in the cellular control. J. Theor. Biol., 22, 325-364
Grossberg S (1982) Studies of Mind and Brain: Neural Principals of Learning, Perception,
Development, Cognition, and Motor Control. Reidel Press, Boston
Hauer FR, Lamberti GA (1996) Methods in Stream Ecology. Academic Press, 674 pp
Hawkes HA (1979) Invertebrates as indicators of river water quality. In: James, A. and
Evision, L. (Eds.), Biological indicators of water quality. John Wiley and Sons,
Chishester, Great Britain, pp. 2.1-2.45
Haykin S (1994) Neural Networks. Macmillian College Publishing Company, 696 pp
Hecht-Nielsen R (1987) Counter propagation networks. Proc. of the Int. Conf. On Neural
networks, II, 19-32, IEEE Press, New York, June 1987
Hecht-Nielsen R (1990) Neurocomputing. Addison-Wesley, New York, 433 pp
Hellawell JM (1986) Biological indicators of freshwater pollution and environmental
management. Elsevier, London, 546 pp.
Hopfield JJ (1982) Neural Networks and Physical Systems with Emergent Collective
Computational Abilities. Proc. Nat!. Acad. Sci. USA, Vol. 79, 2554-2558, April
Huntingford C, Cox PM (1996) Use of statistical and neural network techniques to detect
how stomatal conductance responds to changes in the local environment. Ecol. Model.,
97,217-246
Hynes HBN (1960) The biology ofpolluted waters. Liverpool Univ. Press. London, 202 pp
J~rgensen SE (1992) Parameters, ecological constraints and exergy. Ecol. Model., 62, 163170
J~rgensen SE (1994) Review and comparison of goal functions in system ecology. WIE
MILIEU, 44, 11-20
J~rgensen SE (1995) Exergy and ecological buffer capacities as measures of ecosystem
health. Ecosys. Health, 1, 150-160
J~rgensen SE (1997) Integration of ecosystem theories: A pattern, 2
Dd edition. Kluwer,
Dordrecht, 400 pp