首页> 外国专利> SYSTEM FOR OPERATIONAL IDENTIFICATION OF MARINE TARGETS BY THEIR INFORMATION FIELDS BASED ON NEURO-FUZZY MODELS

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

机译:基于神经模糊模型的信息领域,其信息领域的运营识别系统

摘要

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
机译:领域:水声。物质:发明涉及水声声,可用于构建由辐射和物体泵送船舶环境的低频信号的幅度相位调制迹象检测的智能自动分类系统。本发明的预期结果包括识别由泵送海洋环境的低频信号的幅度相位调制迹象检测的船舶靶(表面或水下物体)的过程的自动化,其中散热与物体的辐射和场,由于船舶目标的数学模型的数学模型的参考样本的形成和减少,通过自适应神经模糊校正路径进行了全面调整规则基础的数据尺寸的全面减少神经网络识别和分类路径中的最终分类过程,其提供了将海洋目标(表面或水下物体)的正确分类概率增加7-9%。 ;效果:识别海洋目标类别的过程的自动化。 ; 1 cl,8 dwg

著录项

  • 公开/公告号RU2763384C1

    专利类型

  • 公开/公告日2021-12-28

    原文格式PDF

  • 申请/专利权人

    申请/专利号RU2021110348

  • 发明设计人 PYATAKOVICH VALERIJ ALEKSANDROVICH (RU);

    申请日2021-04-13

  • 分类号G01S15/04;G01S13/12;

  • 国家 RU

  • 入库时间 2022-08-24 23:25:07

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