FIELD: physics.
SUBSTANCE: present invention relates to radio electronics and hydroacoustics, namely to devices for classification of noise and signals of sea targets. Device enables to classify noise and target signals with the specified accuracy for each time interval from the moment of detection. Invention is based on using an artificial neural network with calculated weight coefficients of input synapses. Distinctive feature of the method is the possibility of determining the accuracy of automatic classification at each time interval from the moment of target detection.
EFFECT: technical result is possibility of automatic (automated) classification of noise and signals of sea targets in terms, which comply with standards of hydroacoustic operators of submarines, as well as high accuracy of classification due to use of additional classification features.
1 cl, 14 dwg, 10 tbl
Authors
Dates
2019-05-17—Published
2018-05-08—Filed