Książka Fuzzy logic and artificial neural network for hydrological modeling Paresh Chandra Deka

Fuzzy logic and artificial neural network for hydrological modeling

a case study of Brahmaputra basin in India

Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 8-11 dni
254.89
The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techni...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2011
strony
184
EAN
9783846542248
Enbook ID
06918273
Waga
292
Wymiary
150 x 220 x 11

Pełny opis

The combination of Artificial Neural Network and Fuzzy Logic are probably the most attractive techniques among the researchers in recent times which is capable of handling non-linear, imprecise, fuzzy, noisy and probabilistic information to solve complex problem in efficient manner. Hybrid systems are designed to take advantage of the strengths of each system and avoid the limitations of each system. It is natural for neural networks to learn but it is cumbersome for a fuzzy system to learn. Hence a combination of the two would result in a rule- based system that can learn and adapt. This book, therefore, provide a comprehensive and integrated approach using Fuzzy logic and Artificial neural network techniques in modeling selected hydrological problems related to International river Brahmaputra within India. Four different hydrological problems are modeled using the proposed fuzzy neural network approach for examining the usefulness of it. This comprehensive real time hydrological modelling study should be especially useful to the Hydrologist, civil engineers, agriculturists, students, field engineers and related governmental as well as non-governmental organisations.

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