SYSTEM FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS Russian patent published in 2021 - IPC G01S15/04 G01S13/12 

Abstract RU 2763384 C1

FIELD: hydroacoustics.

SUBSTANCE: invention relates to hydroacoustics and can be used to build intelligent automated classification systems for marine targets 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 includes the automation of the process of recognizing classes of marine targets (surface or underwater object) 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 adaptive neuro-fuzzy correction path, 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 correct classification of a marine target (surface or underwater object) by 7-9%.

EFFECT: automation of the process of recognizing classes of marine targets.

1 cl, 8 dwg

Similar patents RU2763384C1

Title Year Author Number
METHOD FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS 2021
  • Pyatakovich Valerij Aleksandrovich
  • Pyatakovich Natalya Vladislavovna
  • Filippova Alina Valerevna
  • Alekseev Oleg Adolfovich
RU2763125C1
SYSTEM FOR DETECTING AND CLASSIFYING NAVAL TARGETS BASED ON NEURAL NETWORK TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE ELEMENTS 2021
  • Pyatakovich Valerij Aleksandrovich
RU2780607C1
METHOD FOR DETECTING AND CLASSIFYING NAVAL TARGETS BASED ON NEURAL NETWORK TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE ELEMENTS 2021
  • Pyatakovich Valerij Aleksandrovich
RU2780606C1
SYSTEM FOR DETECTION AND CLASSIFICATION OF SEA TARGETS USING MATHEMATICAL MODEL OF TARGET TYPE DETERMINATION 2020
  • Pyatakovich Valerij Aleksandrovich
  • Filippov Evgenij Gennadevich
  • Pyatakovich Natalya Vladislavovna
  • Vasilenko Anna Mikhajlovna
  • Alekseev Oleg Adolfovich
RU2726992C1
METHOD OF DETECTING AND CLASSIFYING SEA TARGETS USING A MATHEMATICAL MODEL OF DETERMINING THE TYPE OF TARGET 2020
  • Pyatakovich Valerij Aleksandrovich
  • Filippov Evgenij Gennadevich
RU2724990C1
INTELLECTUAL SYSTEM FOR DETECTION AND CLASSIFICATION OF MARINE TARGETS 2018
  • Pyatakovich Valerij Aleksandrovich
RU2681242C1
MARINE MONITORING SYSTEM WITH PROGRAMMABLE NEURON NETWORK CONTROL SYSTEM 2018
  • Pyatakovich Valerij Aleksandrovich
  • Vasilenko Anna Mikhajlovna
  • Pyatakovich Natalya Vladislavovna
RU2697719C1
METHOD FOR FORMATION OF MARINE MONITORING SYSTEM WITH PROGRAMMABLE NEURON NETWORK CONTROL SYSTEM 2018
  • Vasilenko Anna Mikhajlovna
  • Pyatakovich Valerij Aleksandrovich
  • Alekseev Oleg Adolfovich
RU2694846C1
METHOD OF DETECTION AND NEURAL NETWORK RECOGNITION OF THE SIGNS OF THE FIELDS OF DIFFERENT PHYSICAL NATURE GENERATED BY MARINE PURPOSES 2018
  • Vasilenko Anna Mikhajlovna
RU2682088C1
HYDRO ACOUSTIC SIGNALS DETECTION AND THEIR NEURAL NETWORK CLASSIFICATION SYSTEM 2018
  • Pyatakovich Valerij Aleksandrovich
  • Vasilenko Anna Mikhajlovna
RU2681252C1

RU 2 763 384 C1

Authors

Pyatakovich Valerij Aleksandrovich

Dates

2021-12-28Published

2021-04-13Filed