Systems and Means of Informatics
2021, Volume 31, Issue 1, pp 82-96
NEURAL NETWORK APPROACH FOR INFORMATION AND ANALYTICAL SUPPORT OF CONTROL AND PROTECTION OF AQUATIC BIOLOGICAL RESOURCES
- A. A. Zatsarinny
- A. M. Rastrelin
- A. P. Suchkov
Abstract
The article deals with the use of artificial neural networks (ANN) to solve some of the information and analytical support problems of goal-setting and situational management processes in the control and protection of aquatic biological resources (ABR) system. The analysis of this subject area allows one to identify a number of high-tech applied tasks of information and analytical support for the control and protection of ABR, primarily related to goal setting, calculation of forces and means, as well as their situational management. The classification of goal-setting, planning, and situational management tasks in this area is carried out. The structure and composition of the initial input data and outputs of two types of ANN - classification and forecasting - are justified. Issues of training and testing of neural systems are discussed.
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[+] About this article
Title
NEURAL NETWORK APPROACH FOR INFORMATION AND ANALYTICAL SUPPORT OF CONTROL AND PROTECTION OF AQUATIC BIOLOGICAL RESOURCES
Journal
Systems and Means of Informatics
Volume 31, Issue 1, pp 82-96
Cover Date
2021-04-20
DOI
10.14357/08696527210107
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
artificial neural networks; aquatic biological resources; information and analytical support
Authors
A. A. Zatsarinny  , A. M. Rastrelin  , and A. P. Suchkov
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science
and Control", Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Institute of Science and Technology of Automated Systems, 2 Volgogradsky Prosp., Moscow 109316, Russian Federation
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