eng Oriental Scientific Publishing Company Biosciences Biotechnology Research Asia 0973-1245 2016-06-14 11 Spl.Edn.2 301 305 10.13005/bbra/1479 12439 article Vladimir Mikhailovich Vatutin 1 Andrei Borisovich Semyonov 2 Sergey Sergeyvich Shavrin 3 Russian Research Institute of Space Device, 53 Aviamotornaja str., 111250, Moscow Moscow Technical University of Communications and Informatics, 8a Aviamotornaja str., 111024, Moscow 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. https://www.biotech-asia.org/vol11_nospl_edn2/the-computerized-simulation-of-the-neuro-fuzzy-system-for-recognizing-the-parameters-of-the-geographically-distributed-systems-equipment/ Computer technologies; fuzzy control; neural network