Chapter 10 . Aigal Species Succession in Rivers
211
Carson AD, Bizot EB, Hendershot PE, Barton MG, Garvin MK, Kraemer B (1999)
Modeling career counselor decisions with artificial neural networks: predictions of fit
across a comprehensive occupational map. J. Vocational Behav., 54: 196-213
Cassie V (1989) A Contribution to the Study of New Zealand Diatoms. J. Cramer, Berlin,
266 pp
Chon TS, Park YS, Cha EY (2000) Patterning of Community Changes in Benthic
Macroinvertebrates Collected from Urbanized Streams for the Short Term Prediction
by Temporal Artificial Neuronal Networks. 99-114. In: S. Lek and J. F. Guegan (Eds).
Artificial Neuronal Networks: Application to Ecology and Evolution. Springer-Verlag,
Berlin, 97-113
Connors J, Martin D, Atlas L (1994) Recurrent neural networks and robust time series
prediction. IEEE T. Neural Networ., 5: 240-254
Descy JP (1987) Phytoplankton composition and dynarnics in the River Meuse (Belgium).
Arch. Hydrobiol., 78: 225-245
Einsie U (1993) Crustacea, Copepoda, Calanoidia and Cyclopoida. Susswasserfauna von
Mitteleuropa, Vol. 8, Part 4-1, J. Fisher, Stuttgart, 208 pp
Fielding A (1999) An introduction to machine leaming methods. In: (Ed) A. Fielding.
Machine Leaming Methods for Ecological Applications. Kluwer Academic Publishers,
Massachusetts, 261 pp
Foged E (1978) Diatoms in Eastern Australia, J. Cramer, Berlin, 243 pp
Ha K, Joo GJ (2000) Role of silica in phytoplankton succession: an enclosure experiment
in the downstream Nakdong River (Mulgum). Korean J. Ecol., 23: 299-307
Ha K, Cho EA, Kim HW, Joo GI (1999) Microcystis bloom formation in the lower
Nakdong River, South Korea: importance ofhydrodynamics and nutrient loading. Mar.
Freshwater Res., 50: 89-94
Ha K, Kim HW, Joo GI (1998) The phytoplankton succession in the lower part of
hypertrophic Nakdong River (Mulgum), South Korea. Hydrobiologia, 369/370: 217227
Ha K (1999) Phytoplankton Community Dynamics and Microcystis Bloorn Development in
a Hypertrophic River (Nakdong River, Korea). Ph. D. dissertation. Pusan National
Univ., Pusan, 140 pp
Harns GP (1986) Phytoplankton Ecology: Structure, Function and Fluctuation. Chapman
and Hall, NY, 384 pp
Hecht-Nielsen R (1987) Neurocomputing. Addison-Wesley Publishing Co., NY, 433 pp
Jeong KS, Joo GI, Kim HW, Ha K, Recknagel F (200la) Prediction and elucidation of algal
dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural
network. Ecol. Modelling, 146: 115-129
Jeong KS, Jang MH, Park SB, Cho GI, Joo GI (2001b) Neuro-Genetic Leaming to the
algal dynamics: a preliminary experiment for the new technique to the ecological
modelling. Proceeding of the Korean Environmental Science Society, pp 234-235
Joo GJ, Kim HW, Ha K, Kim JK (1997) Long-term trend of the eutrophication of the lower
Nakdong River. Kor. J. Limnol., 30-supplement: 472-480
Kamp-Nielsen L (1978) Modelling the vertical gradients in sedimentary phosphorus
fractions. Verh. Internat. Verein. Limnol., 20: 720-727
Kirn HW, Joo GJ, Walz N (2001) Zooplankton dynamics in the hyper-eutrophie
Nakdong River system (Korea) regulated by an estuary dam and side
ehannels. Internat. Rev. Hydrobiol., 86: 127-143
211
Carson AD, Bizot EB, Hendershot PE, Barton MG, Garvin MK, Kraemer B (1999)
Modeling career counselor decisions with artificial neural networks: predictions of fit
across a comprehensive occupational map. J. Vocational Behav., 54: 196-213
Cassie V (1989) A Contribution to the Study of New Zealand Diatoms. J. Cramer, Berlin,
266 pp
Chon TS, Park YS, Cha EY (2000) Patterning of Community Changes in Benthic
Macroinvertebrates Collected from Urbanized Streams for the Short Term Prediction
by Temporal Artificial Neuronal Networks. 99-114. In: S. Lek and J. F. Guegan (Eds).
Artificial Neuronal Networks: Application to Ecology and Evolution. Springer-Verlag,
Berlin, 97-113
Connors J, Martin D, Atlas L (1994) Recurrent neural networks and robust time series
prediction. IEEE T. Neural Networ., 5: 240-254
Descy JP (1987) Phytoplankton composition and dynarnics in the River Meuse (Belgium).
Arch. Hydrobiol., 78: 225-245
Einsie U (1993) Crustacea, Copepoda, Calanoidia and Cyclopoida. Susswasserfauna von
Mitteleuropa, Vol. 8, Part 4-1, J. Fisher, Stuttgart, 208 pp
Fielding A (1999) An introduction to machine leaming methods. In: (Ed) A. Fielding.
Machine Leaming Methods for Ecological Applications. Kluwer Academic Publishers,
Massachusetts, 261 pp
Foged E (1978) Diatoms in Eastern Australia, J. Cramer, Berlin, 243 pp
Ha K, Joo GJ (2000) Role of silica in phytoplankton succession: an enclosure experiment
in the downstream Nakdong River (Mulgum). Korean J. Ecol., 23: 299-307
Ha K, Cho EA, Kim HW, Joo GI (1999) Microcystis bloom formation in the lower
Nakdong River, South Korea: importance ofhydrodynamics and nutrient loading. Mar.
Freshwater Res., 50: 89-94
Ha K, Kim HW, Joo GI (1998) The phytoplankton succession in the lower part of
hypertrophic Nakdong River (Mulgum), South Korea. Hydrobiologia, 369/370: 217227
Ha K (1999) Phytoplankton Community Dynamics and Microcystis Bloorn Development in
a Hypertrophic River (Nakdong River, Korea). Ph. D. dissertation. Pusan National
Univ., Pusan, 140 pp
Harns GP (1986) Phytoplankton Ecology: Structure, Function and Fluctuation. Chapman
and Hall, NY, 384 pp
Hecht-Nielsen R (1987) Neurocomputing. Addison-Wesley Publishing Co., NY, 433 pp
Jeong KS, Joo GI, Kim HW, Ha K, Recknagel F (200la) Prediction and elucidation of algal
dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural
network. Ecol. Modelling, 146: 115-129
Jeong KS, Jang MH, Park SB, Cho GI, Joo GI (2001b) Neuro-Genetic Leaming to the
algal dynamics: a preliminary experiment for the new technique to the ecological
modelling. Proceeding of the Korean Environmental Science Society, pp 234-235
Joo GJ, Kim HW, Ha K, Kim JK (1997) Long-term trend of the eutrophication of the lower
Nakdong River. Kor. J. Limnol., 30-supplement: 472-480
Kamp-Nielsen L (1978) Modelling the vertical gradients in sedimentary phosphorus
fractions. Verh. Internat. Verein. Limnol., 20: 720-727
Kirn HW, Joo GJ, Walz N (2001) Zooplankton dynamics in the hyper-eutrophie
Nakdong River system (Korea) regulated by an estuary dam and side
ehannels. Internat. Rev. Hydrobiol., 86: 127-143