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AN HYBRID INTELLIGENT SYSTEM AND MODELS FOR PROTECTING WATER SUPPLY QUALITY USING GIS


PRUTEANU EUSEBIU
UNIVERSITY OF BACĂU

Issue:

MOCM, Number 11, Volume IV

Section:

Informatization of Energy Processes

Abstract:

The rapid growth in the number and variety of applications of the fuzzy logic controller and neural networks reflects the advantages of the intelligent techniques applications. Neuro-fuzzy modeling is aimed at solving real world decision making, modeling and control system problems, witch are usually imprecisely designed and require human operator intervention. In this paper neuro-fuzzy method with their ability to incorporate human knowledge are used in the conception and design of hybrid intelligent systems and models. Implementation of the neuro-fuzzy models and algorithms by using the weighting sums method is proposed

Keywords:

neural network, pollution, GIS, fuzzy, hybrid, water.

Code [ID]:

MOCM200511V04S01A0006 [0000206]


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