NEURAL MODEL OF SYSTEM OF QUERIES TO A HIERARCHICAL DATABASE
https://doi.org/10.17726/philIT.2015.10.2.004.852
Abstract
This article describes the possibility of using of biological approach in building of a system of queries to hierarchical database based on a neural network. The short description of formal neuron and the simplest model of its training with a reinforcement is given. The structure of model of a database is shown and the maintenance of its levels is unfolded. The model of a three-layer neural network with training, capable to process queries in the modes both with soft and rigid criteria restrictions is constructed, its properties are defined and the mathematical description of its elements is formulated. The algorithms of functioning and training of the provided model are developed. The results of realization of the development for a database of books are given. The effectiveness of the proposed approach is shown, constructiveness of the received model is established and the directions for further researches are defined.
About the Authors
V. N. Kogay
Tashkent University of Information Technologies
Russian Federation
Russian Federation
D. A. Rozikhodjaeva
Tashkent University of Information Technologies
Russian Federation
Russian Federation
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Review
For citations:
Kogay V.N., Rozikhodjaeva D.A. NEURAL MODEL OF SYSTEM OF QUERIES TO A HIERARCHICAL DATABASE. Philosophical Problems of IT & Cyberspace (PhilIT&C). 2015;(2):116. (In Russ.) https://doi.org/10.17726/philIT.2015.10.2.004.852
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