首页|基于实例推理与多Agent架构的雷达智能故障分析系统研究

基于实例推理与多Agent架构的雷达智能故障分析系统研究

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结合Agent的基本结构和特性,提出了一种基于实例推理与多Agent架构的雷达智能故障分析系统总体设计.该系统中的各Agent都具有独立故障分析能力以及与其他Agent的协作能力.基于实例推理可以不依赖于专家的经验知识,依靠其自身具有的学习机制,这对于提高雷达维修保障能力均具有重要意义.
Research on Radar Intelligent Fault Analysis System Based on Case-based Reasoning and Multi-Agent Architecture
Combining the basic structure and characteristics of Agents,this paper proposes an over-all design of a radar intelligent fault analysis system based on case-based reasoning and multi-A-gent architecture.Each Agent in the system has independent fault analysis ability and collaboration ability with other agent.Case-based reasoning does not rely on expert's experience knowledge and has its own learning mechanism,which is of great significance for improving radar maintenance and support capabilities.

case-based reasoningmulti-Agent architectureartificial intelligenceintelligent fault di-agnosis

陈靖宇

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中国船舶集团有限公司第七二三研究所,江苏扬州 225101

实例推理 多Agent架构 人工智能 智能故障诊断

2024

舰船电子对抗
中国船舶重工集团公司第723研究所

舰船电子对抗

影响因子:0.213
ISSN:1673-9167
年,卷(期):2024.47(6)