350 rub
Journal Neurocomputers №12 for 2015 г.
Article in number:
Neural network algorithms and automated factographic information systems
Keywords:
neural network
factographic system
efficiency of systems
efficiency indicator
factographic information retrieval
Authors:
S.D. Kulik - Dr. Sc. (Eng.), Professor, National Research Nuclear University «MEPHI»; Moscow State University of Psychology and Education (MSUPE). E-mail: sedmik@mail.ru
Abstract:
This paper briefly discusses the neural network and automated factographic information systems (AFIS). AFIS is the special class factographic systems. Method is proposed for develop of technical decision-making. This method contains the necessary neural networks. It is offered to use a special factographic retrieval and neural network.
In paper questions of estimation of efficiency and estimated characteristics of efficiency of factgraphic retrieval by means of use neuronets algorithms are considered. Traditional methods of an esti-mation of efficiency do not allow to evaluate the effective-ness of factographic retrieval in AFIS.
Briefly introduces the concept of building the AFIS. The variant of a possible scheme of AFIS for implementing it in practice are proposed. It is offered to use a special factographic information retrieval in criminalistics.
This paper is about automated factographic information systems. Such AFIS can be used in different applied tasks for special fac-tographic retrieval and using it for retrieval special object of the retrieval system. That technology lets to increase efficiency of the factographic systems using search engines of the special class. Also it can be useful for systems that work with large vo-lumes of factographic data. AFIS consist several subsystems (analyze and decision-making unit, data preparing unit, factografic data retrieval, factografic database and other unit). Also AFIS have human friendly interface that helps users (operators) to work with it without special training.
In this paper submitted descriptions of these subsystems and their blocs, methods and algorithms that using in different units and using of the neural networks.
Author propose to use AFIS in criminalistics systems or in a special class of retrieval systems that use features in research process. Such retrieval system use the special algorithms and can be used for searching data of different types. Nowauthorconti-nueresearchesinthisscientificfield.
The results of the researches were successfully protected by the various security documents (patents).
Pages: 58-65
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