ISSN: 2349-5162

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Published in:

Volume 2 Issue 11
November-2015
eISSN: 2349-5162

Unique Identifier

JETIR1511021

Page Number

120-123

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Title

An Introduction to Soft Computing Techniques in Water Resources System

ISSN

2349-5162

Cite This Article

"An Introduction to Soft Computing Techniques in Water Resources System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 11, page no.120-123, November-2015, Available :http://www.jetir.org/papers/JETIR1511021.pdf

Abstract

The field of engineering is a creative one. The problems encountered in this field are generally unstructured, imprecise and influenced by intuitions and past experiences of a designer. The conventional methods of computing, relying on analytical or empirical relations, become time consuming and labor intensive when posed with real life problems. To study, model and analyze such problems, approximate computer based Soft Computing techniques inspired by the reasoning, intuition, consciousness and wisdom possessed by human beings are employed. In contrast to conventional computing techniques, which rely on exact solutions, soft computing aims at exploiting given tolerance of imprecision, the trivial and uncertain nature of the problem to yield an approximate solution to a problem in quick time. Soft Computing being a multi-disciplinary field uses a variety of statistical, probabilistic and optimization tools which complement each other to produce its three main branches viz. Neural Networks, Genetic Algorithms and Fuzzy Logic. The applications of two major soft computing techniques viz. , Artificial Neural Networks and Genetic Algorithms, has replaced, to some extent, the time consuming conventional techniques of computing with intelligent and time saving computing tools in the field of Civil Engineering. In simple understanding, by using soft computing techniques, some solution, less than the perfect solution, can be arrived at; which may be quite close to the desired solution or lie within the acceptable limits of error. The field of water resources has a lot of potential application of soft computing. Various such techniques have been used to model pollution transport in streams, optimum water allocation, and others.

Key Words

Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Soft Computing

Cite This Article

"An Introduction to Soft Computing Techniques in Water Resources System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 11, page no. pp120-123, November-2015, Available at : http://www.jetir.org/papers/JETIR1511021.pdf

Publication Details

Published Paper ID: JETIR1511021
Registration ID: 150898
Published In: Volume 2 | Issue 11 | Year November-2015
DOI (Digital Object Identifier):
Page No: 120-123
ISSN Number: 2349-5162

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Cite This Article

"An Introduction to Soft Computing Techniques in Water Resources System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 11, page no. pp120-123, November-2015, Available at : http://www.jetir.org/papers/JETIR1511021.pdf




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