232
G.J. Bowden . G.C. Dandy . H.R. Maier
Govindaraju and A. R. Rao (Eds), Artifieial Neural Networks in Hydrology, Kluwer
Aeadernie Publishers pp. 348.
Maier HR, Dandy GC (2000b) Neural networks for the predietion and foreeasting of water
resourees variables: a review of modelling issues and applieations. Environmental
Modelling and Software, 15: 101-124.
Maier HR, Dandy GC, Bureh MD (1998) Use of artifieial neural networks for modelling
eyanobaeteria Anabaena spp. in the River Murray, South Australia. Eeologieal
Modelling, 105: 257-272.
Maier HR, Sayed T, Lenee BJ (2000) Foreeasting eyanobaeterium Anabaena spp. using Bspline neurofuzzy models, 2nd International Conferenee on Applieations of Maehine
Learning to Eeologieal Modelling, Adelaide, Australia.
Masters T (1993) Praetieal Neural Network Recipes in C++, Aeadernie Press, San Diego,
493 pp.
Masters T (1995) Neural, Novel and Hybrid Algorithms for Time Series Predietion, John
Wiley and Sons, New York, 514 pp.
NeuralWare (1998) Neural Computing: A Teehnology Handbook for NeuralWorks
Professional IIIPLUS and NeuralWorks Explorer, Aspen Teehnology Ine., USA, 324
pp.
Simpson AR, Dandy GC, Murphy LJ (1994) Genetie algorithms eompared to other
teehniques for pipeline optirnisation. Journal of Water Resourees Planning and
Management, ASCE, 120(4): 423-443.
Précédent

- 252/410

Suivant