Abstract
Based on a special neural network approach we show efficient ways to tackle non-linear processes in air pollution problems.
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References
Ando, B., Cammarata, G., Fichera, A., Graziani, S., Pitrone, N.: Neural Networks for the Analysis of the Air Pollution in Urban Areas. In: Proc. EUFIT’95 Aachen (1995)
Schuurman, G., Muller, E.: Back Propagation Neural Networks–Recognition vs. Prediction Capability. Environ. Toxicol. Chem. 13 (1994) 2061–2077
Karayiannis, N.B., Venetsanopulos, A.N.: Applications of Neural Networks to Environmentual Protection. Conference
Sandulescu, G.M., Bistran, M.: The Self - Learning Fuzzy Models in Competition with the Neural Networks. In: Proc. 5th Zittau Fuzzy-Colloquium, Zittau, Germany (1997)
Hass, H., Ackermann, I.J.: Aerosol Modeling within the EURAD Model System: Development and Applications. In: Proc. NATO Advanced Workshop “On Large Scale Computations In Air Pollution Modelling”, Sofia, Bulgaria (1998)
Sandulescu, G.M., M. Bistran, M.: Neural, Fuzzy Modelling in Pollution, an Interesting Alternative to Other Procedures: An Overview and PC Illustrations of Some Experiments. In: Proc. NATO Advanced Workshop “On Large Scale Computations In Air Pollution Modelling”, Sofia, Bulgaria (1998)
Kallos, G., Nickovic, S.: The Regional Weather Forecasting Models as Predictive Tools for Major Environmental Disasters and Natural Hazards. In: Proc. NATO Advanced Workshop “On Large Scale Computations In Air Pollution Modelling”, Sofia, Bulgaria (1998)
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© 2000 Springer-Verlag Berlin Heidelberg
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Sandulescu, G.M., Bistran, M. (2000). Self-Learning Fuzzy Models and Neural Models in Environment Prediction. In: Hampel, R., Wagenknecht, M., Chaker, N. (eds) Fuzzy Control. Advances in Soft Computing, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1841-3_28
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DOI: https://doi.org/10.1007/978-3-7908-1841-3_28
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1327-2
Online ISBN: 978-3-7908-1841-3
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