Chapter 16 . Time-Series Prediction of Marine Zooplankton
327
Dodier R (1994) Increase of apparent complexity is due to decrease of training set error. In:
M.C. Mozer, P. Smolensky, D.S. Touretzky, J.L. Elman and A.S. Weigend (Editors),
Proceedings of the 1993 Connectionist Models Summer School, Erlbaum, Hillsdale,
pp. 343-350
Gershenfeld NA, Weigend AS (1994) The future of time series: Learning and
Understanding. In: A.S. Weigend and N.A. Gershenfeld (Editors), Time Series
Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley,
Reading, pp. 1-70
Grünewald A (2000) Untersuchungen zur Prognostik mit Neuronalen Netzen. Diploma
thesis, University of Hamburg
Greve W, Reiners F (1988) Plankton time-space dynarnics in the Gerrnan Bight. Oecologia
77: 487-496
Hertz J, Krogh A, Palmer RG (1991) Introduction to the Theory of Neural Computation.
Addison-Wesley, Redwood City
Press WH, Flannery BF, Teukolsky SA, Vetterling WT (1986) Numerical Recipes.
Cambridge University Press, Cambridge
Reick CH, Page B (2000) Time series prediction by multivariate next neighbor methods
with application to zooplankton forecasts. Mathematics and Computers in Simulation,
52: 289-310
Riedmiller M, Braun H (1993) A direct adaptive method for faster backpropagation
learning - The RPROP algorithm. In: H. Ruspini (Editor), Proceedings of the IEEE
International Conference of Neural Networks (ICNN 93), San Francisco, pp. 586-591
Rost B, Sander C (1993) Prediction of protein secondary structure at better than 70%
accuracy. J. Mol. Biology, 232: 584-599
Theil H (1966) Applied Economic Forecasting, North Holland, Amsterdam
Wan EA (1994) Time series prediction by using a connectionist network with internal
delay lines. In: A.S. Weigend and N.A. Gershenfeld (Editors), Time Series Prediction:
Forecasting the Future and Understanding the Past, Addison-Wesley, Reading, pp.
195-218
Weigend AS (1994) On overfitting and the effective number of hidden units. In: M.C.
Mozer, P. Smolensky, D.S. Touretzky, J.L. Elman and A.S. Weigend (Editors),
Proceedings of the 1993 Connectionist Models Summer School, pp. 335-342
Weigend AS, Rumelhart DE, Huberrnann BA (1991) Backpropagation, weight elimination
and time series prediction. In: D.S. Touretzky (Editor), Connectionist Models,
Proceedings of the 1990 Summer School, Morgan Kaufmann, San Mateo, pp. 105-123
Weiss SM, Kulikowski CA (1990) Computer Systems that Learn: Classification and
Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert
Systems, Morgan Kaufmann, San Mateo
Zell A (1994) Simulation Neuronaler Netze. Addison-Wesley, Bonn
327
Dodier R (1994) Increase of apparent complexity is due to decrease of training set error. In:
M.C. Mozer, P. Smolensky, D.S. Touretzky, J.L. Elman and A.S. Weigend (Editors),
Proceedings of the 1993 Connectionist Models Summer School, Erlbaum, Hillsdale,
pp. 343-350
Gershenfeld NA, Weigend AS (1994) The future of time series: Learning and
Understanding. In: A.S. Weigend and N.A. Gershenfeld (Editors), Time Series
Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley,
Reading, pp. 1-70
Grünewald A (2000) Untersuchungen zur Prognostik mit Neuronalen Netzen. Diploma
thesis, University of Hamburg
Greve W, Reiners F (1988) Plankton time-space dynarnics in the Gerrnan Bight. Oecologia
77: 487-496
Hertz J, Krogh A, Palmer RG (1991) Introduction to the Theory of Neural Computation.
Addison-Wesley, Redwood City
Press WH, Flannery BF, Teukolsky SA, Vetterling WT (1986) Numerical Recipes.
Cambridge University Press, Cambridge
Reick CH, Page B (2000) Time series prediction by multivariate next neighbor methods
with application to zooplankton forecasts. Mathematics and Computers in Simulation,
52: 289-310
Riedmiller M, Braun H (1993) A direct adaptive method for faster backpropagation
learning - The RPROP algorithm. In: H. Ruspini (Editor), Proceedings of the IEEE
International Conference of Neural Networks (ICNN 93), San Francisco, pp. 586-591
Rost B, Sander C (1993) Prediction of protein secondary structure at better than 70%
accuracy. J. Mol. Biology, 232: 584-599
Theil H (1966) Applied Economic Forecasting, North Holland, Amsterdam
Wan EA (1994) Time series prediction by using a connectionist network with internal
delay lines. In: A.S. Weigend and N.A. Gershenfeld (Editors), Time Series Prediction:
Forecasting the Future and Understanding the Past, Addison-Wesley, Reading, pp.
195-218
Weigend AS (1994) On overfitting and the effective number of hidden units. In: M.C.
Mozer, P. Smolensky, D.S. Touretzky, J.L. Elman and A.S. Weigend (Editors),
Proceedings of the 1993 Connectionist Models Summer School, pp. 335-342
Weigend AS, Rumelhart DE, Huberrnann BA (1991) Backpropagation, weight elimination
and time series prediction. In: D.S. Touretzky (Editor), Connectionist Models,
Proceedings of the 1990 Summer School, Morgan Kaufmann, San Mateo, pp. 105-123
Weiss SM, Kulikowski CA (1990) Computer Systems that Learn: Classification and
Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert
Systems, Morgan Kaufmann, San Mateo
Zell A (1994) Simulation Neuronaler Netze. Addison-Wesley, Bonn