| 摘要: |
| 根据1998～2005年的东海区上海、宁波、江苏和舟山四大渔业公司的鲐鱼（Pneumatophorus japonicus）生产统计数据以及同期的卫星资料反演的海表温度、叶绿素a浓度数据，利用案例推理方法，设定了上级结果的相似距对下级检索的影响权重因子，进一步研究渔场渔情的分析预报。通过试验性预报实例的预报结果与实际情况比较表明，预测精度达到75%，可以较好地反映出渔场的分布，为渔业资源的开发利用服务。 |
| 关键词: 中心渔场 智能预报 案例推理 东海 鲐鱼（Pneumatophorus japonicus） |
| DOI： |
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| 基金项目:浙江省科研社会发展项目（2007C23075） |
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| Predicting central fishing ground of Scomber japonica in East China Sea based on case-based reasoning |
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ZHANG Yue-xia,QIU Zhong-feng,WU Yu-mei,MIAO Zhen-qing
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| Abstract: |
| In this presentation, considering the comparability weight, the capture data of Scomber japonicu in the East China Sea collected from four major fishery companies during 1998～2005 and sea surface temperature (SST) and chlorophyll a (Chlo-a) derived from satellite images are used to forecast central fishing grounds. The presentation also gives some forecast examples, and the results show the forecast accuracy is up to 75%.This method can offer information for marine fisheries production and fishery managing departments. |
| Key words: central fishing ground intelligence prediction case-based reasoning East China Sea Scomber japonicu |
