METHOD FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS

摘要

FIELD: hydroacoustics.;SUBSTANCE: invention relates to hydroacoustics and can be used to implement neural network recognition operations of target classes (surface or underwater object) detected by signs of amplitude-phase modulation of low-frequency signals of pumping the marine environment by radiation and fields of objects. The expected result of the invention is the automation of the process of recognizing classes of marine targets detected by the signs of amplitude-phase modulation of low-frequency signals of pumping the marine environment with radiation and fields of objects, a comprehensive reduction in the dimension of data with automatic adjustment of the rule base due to the formation and reduction of the retrieval of reference samples of mathematical models of marine targets, carried out using the path of regulation of parameters of formation and reduction of samples, necessary for the implementation of the final classification process in the neural network recognition and classification path, which provides an increase in the probability of reliable operational classification of a marine target by 7-9% greater than when using a prototype. ;EFFECT: automation of the process of recognizing classes of marine targets. ;1 cl, 8 dwg