Underwater Target Recognition System based on Case-Based Reasoning

摘要：

Case-Based Reasoning(CBR)is a recent approachto problem solving and learning.Originating in theUS,the basic idea and underlying theories havespread to other continents.In this paper,A underwatertarget recognition system based on CBR is designed.Anaval vessels noise is a initial problem definition,itstype is this problem solution,the feature vector ofnaval vessels noise and its type is regarded as a case.Applying a stepwise approach to retrieve a best matchcase from previous cases,and then the best match caseis used to identify the type of underwater target.Experiment resultes have showed that the system hasbetter adaptability and more higher correctrecognition probability.

作者: XIE Jun HU Junchuan DA Lianglong LI Yuyang

作者单位: Tactical Underwater Acoustical Database Center,Naval Submarine Academy,Qindao,266071,China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 723-725

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）