Evaluation ofa formalized model for classification of emergency situations
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Date
2017
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Publisher
National Technical University «KhPI»
Abstract
Formalization of conditions that characterize the problem of classification of emergency situations is considered in this paper.This formalization is the basis for the Formalized Model of the emergency situations classificationproblem. Intelligent methods are used to solve this problem. These methods are also the basis for the development of the Neural Network Model for emergency situation classification. In this paper wedevelop the structure of the model and determine the number of network layers, the types of neurons and its membership functions. Using the Neural Network Model as decision
support for the dispatchers of emergency services makes it possible to improve the quality of emergency situations classification.
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Keywords
formalization of conditions, fuzzy neural networks, emergency situations, problem of classification of emergency situations, Formalized Model, Neural Network Model
Citation
Titova V. Evaluation ofa formalized model for classification of emergency situations / Vera Titova, Ielizaveta Gnatchuk // Computational linguistics andintelligent systems (COLINS 2017) : proceedings of the 1st International conference, Kharkiv, Ukraine, 21 April 2017 / National Technical University «KhPI», Lviv Polytechnic National University. – Kharkiv, 2017. – P. 110–119. – Bibliography: 8 titles.