Intelligent effective management system of biotechnical objects based on natural disturbances prediction

Abstract

This article analyses Biotechnical objects as complex processes and external disturbances on them; promising areas of management systems of biotechnical objects development are identified; methodological bases for specialized algorithmic-mathematical software construction based on the methods of game theory and statistical solutions, neural networks (including genetic algorithm), filtering the noise components of information signals are synthesized and tested; variety of architectures of intelligent effective management systems of biotechnical objects are developed and tested