基于雷达信号的运动目标检测的深度卷积神经网络驱动神经模糊系统

IF 0.9 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Information & Knowledge Management Pub Date : 2022-01-01 DOI:10.1142/S0219649222500101

M. Kumar, P. R. Kumar

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Deep Convolutional Neural Network driven Neuro-Fuzzy System for Moving Target Detection Using the Radar Signals

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来源期刊

Journal of Information & Knowledge Management INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

2.40

自引率

25.00%

发文量

期刊介绍： JIKM is a refereed journal published quarterly by World Scientific and dedicated to the exchange of the latest research and practical information in the field of information processing and knowledge management. The journal publishes original research and case studies by academic, business and government contributors on all aspects of information processing, information management, knowledge management, tools, techniques and technologies, knowledge creation and sharing, best practices, policies and guidelines. JIKM is an international journal aimed at providing quality information to subscribers around the world. Managed by an international editorial board, JIKM positions itself as one of the leading scholarly journals in the field of information processing and knowledge management. It is a good reference for both information and knowledge management professionals. The journal covers key areas in the field of information and knowledge management. Research papers, practical applications, working papers, and case studies are invited in the following areas: -Business intelligence and competitive intelligence -Communication and organizational culture -e-Learning and life long learning -Electronic records and document management -Information processing and information management -Information organization, taxonomies and ontology -Intellectual capital -Knowledge creation, retention, sharing and transfer -Knowledge discovery, data and text mining -Knowledge management and innovations -Knowledge management education -Knowledge management tools and technologies -Knowledge management measurements -Knowledge professionals and leadership -Learning organization and organizational learning -Practical implementations of knowledge management