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《High Technology Letters》 2001-05
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Predicting Center Fishery Based on CBR

Ye Shiren, Shi Zhongzhi (Open Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080)  
Focusing on central fishery prediction in system of remote sense information and resources evaluation service in sea, a multi strategies trend prediction method based on CBR is proposed. Adapting many different similarity calculation methods, reusing quite similar or conditional similar historical series, and reviewing prediction results further with rules of domain experts, the results are satisfying. The System is applying to East China Sea fishery area.
【Fund】: 863计划资助项目 ( 863 818 0 7)
【CateGory Index】: S931
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