The adaptive locally optimal strategy for managing the operation of the neural network system of classification of sea targets
The paper deals with the problems of determining the sequence, nature and magnitude of control actions influencing the state of the marine technical object as well as with the problems of calculating the reliability of its equipment used in the generic structure of the neural network expert system of classification of sea targets (marine monitoring system with elements of artificial intelligence) while monitoring sea waters. The locally and globally optimal strategies of guaranteed operation management of the intelligent autonomous system of classification of sea targets are determined. The general technique of guaranteed control over the operation of the hardware components constituting the equipment of the intelligent autonomous system for classification of sea targets is offered. The general procedure for calculating the most appropriate strategies for the object management has been developed through solving specific problems, based on the real possibilities of operation management and information systems. The set of algorithms presented in this paper can be used to calculate the mathematical model of the predicted process by considering the guaranteed time of trouble-free operation in situations where the stochastic characteristics of the disturbing factors are unknown. A distinguishing feature of the problems we study lies in the fact that they should be solved in conditions of the incomplete and not always reliable information.