Neural network approach for information and analytical support of control and protection of aquatic biological resources

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.