MENÜ MENÜ
  • Sie verwenden einen veralteten Webbrowser, weshalb es zu Problemen mit der Darstellung kommen kann. Bei Problemen mit der Bestellabgabe können Sie gerne auch telefonisch bestellen unter: 01805 / 30 99 99 (0,14 €/Min., Mobil max. 0,42 €/Min.)

Fuzzy Neural Network hybrid modelling for runoff estimation

Deka:Fuzzy Neural Network hybrid modell
Autor: Paresh C. Deka / Twolde Mirhanu
Verfügbarkeit: nur noch 3 lieferbar
Artikelnummer: 728186
ISBN / EAN: 9783845477060

Verfügbarkeit: sofort lieferbar

49,00
Inkl. MwSt. , zzgl. Versandkosten

Zusatzinformation

Produktbeschreibung

The problem of accurately determining river flows from rainfall, evaporation and other factors, occupies an important place in hydrology as the rainfall-runoff process is believed to be highly non-linear, time varying, spatially distributed and not easily described by simple model. The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in estimating the daily runoff at the outlet of Koga catchment within Blue Nile river basin in Ethiopia. The methodology and results were analysed for different input scenarios. The analysis should be especially useful to the Hydrologist, civil engineering students, field engineers and researchers who may be considering utilizing latest soft computing techniques for runoff estimation in limited data, uncertainty and partially understood hydrological processes of a catchment.

0 Kundenmeinungen

Bitte schreiben Sie uns Ihre Meinung zu: Fuzzy Neural Network hybrid modelling for runoff estimation

Sie könnten auch an folgenden Produkten interessiert sein