INTELLIGENT SYSTEM OF NEURAL NETWORK CLASSIFICATION OF MARINE TARGETS
The article presents the results of the authors' research on development of the classification method and system of marine engineering objects on the basis of the artificial neural network technologies and their training algorithms with the application of mathematically treated images library of marine targets spectrograms. This system shall provide detection of the hydro acoustic signals sources in listening mode as well as their automatic recognition and classification according to amplitude-frequency characteristics in terms of neural network technologies and efficiently updated mathematically treated images library of marine targets spectrograms. The information collection shaping process is necessary for solving two tasks - the first one is the reference specimen formation process required for carrying out the recognition network training process and the second one is directly target recognition. The recognition and classification of marine targets by their field features using computational operations performed by neural networks allow to accelerate the recognition and to increase the probability of surface and underwater targets classification.