Vol11(spl.Edn.2)
 PDF Downloads: 897

The Computerized Simulation of the Neuro-fuzzy System for Recognizing the Parameters of the Geographically Distributed Systems Equipment

Vladimir Mikhailovich Vatutin1, Andrei Borisovich Semyonov2 and Sergey Sergeyvich Shavrin3

1Russian Research Institute of Space Device, 53 Aviamotornaja str., 111250, Moscow 2Moscow Technical University of Communications and Informatics, 8a Aviamotornaja str., 111024, Moscow.

DOI : http://dx.doi.org/10.13005/bbra/1479

ABSTRACT: The possibility of neural networks control over emergency and pre-emergency situations by predicting their development with the equipment of geographically distributed systems based on computer technology, which is operating under the conditions of uncertainty, has been investigated. The errors of the neural network and the choice of algorithm for training and testing the network have been evaluated; the methods for the neuro-fuzzy control by using a computer neural network with a training set have been claimed.

KEYWORDS: Computer technologies; fuzzy control; neural network

Download this article as: 
Copy the following to cite this article:

Vatutin V. M, Semyonov A. B, Shavrin S. S. The Computerized Simulation of the Neuro-fuzzy System for Recognizing the Parameters of the Geographically Distributed Systems Equipment. Biosci Biotech Res Asia 2014;11(spl.edn.2)

Copy the following to cite this URL:

Vatutin V. M, Semyonov A. B, Shavrin S. S. The Computerized Simulation of the Neuro-fuzzy System for Recognizing the Parameters of the Geographically Distributed Systems Equipment. Biosci Biotech Res Asia 2014;11(spl.edn.2). Available from:https://www.biotech-asia.org/?p=12439

[ HTML Full Text]

Back to TOC