| 基于CBR的智能赤潮预测预警系统研究 |
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| 引用本文： | 冯剑丰,曲阳,李会民,沈菲,王洪礼.基于CBR的智能赤潮预测预警系统研究[J].海洋技术,2005,24(2):63-65,113. |
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| 作者姓名： | 冯剑丰 曲阳 李会民 沈菲 王洪礼 |
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| 作者单位： | 天津大学,天津,300072;天津市科委,天津,300041 |
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| 基金项目： | 国家自然科学基金资助项目(10472077) |
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| 摘 要： | 基于实例推理机制(CBR)，综合运用人工神经网络、知识发现、模糊逻辑及赤潮生态动力学模型库，考虑了影响赤潮发生的因素的多样性与随机性，建立了一个基于实例推理的智能赤潮预测预警系统。
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| 关 键 词： | 赤潮 CBR 人工智能 预测预警系统 |
| 文章编号： | 1003-2029(2005)02-0063-04 |
Research on Intelligence HABs Early-Warning System Based On CBR |
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| FENG Jian-feng,QU Yang,LI Hui-min,SHEN Fei,WANG Hong-li.Research on Intelligence HABs Early-Warning System Based On CBR[J].Ocean Technology,2005,24(2):63-65,113. |
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| Authors: | FENG Jian-feng QU Yang LI Hui-min SHEN Fei WANG Hong-li |
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| Institution: | FENG Jian-feng1,QU Yang2,LI Hui-min1,SHEN Fei1,WANG Hong-li1 |
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| Abstract: | Based on CBR (Case Based Reasoning) method, this article presents a HABs(Harmful Algal Blooms)early-warning system including artificial neural network, knowledge discovery, fuzzy logic and HABs dynamical model. The framework of the early-warning system is also presented in this article as well as the algorithm of each subsystem. |
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| Keywords: | HABs Case Based Reasoning Artificial Intelligence Early-Warning System |
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