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GRNN和遗传算法在赤潮预报中的应用操作
引用本文:孙蓉桦,张微. GRNN和遗传算法在赤潮预报中的应用操作[J]. 科技通报, 2005, 21(4): 485-490
作者姓名:孙蓉桦  张微
作者单位:浙江大学,空间信息技术研究所,杭州,310027
摘    要:本文探讨了基于神经网络和遗传算法的赤潮预报模型,根据已有的海洋水质监测数据,运用统计学和人工智能的方法对赤潮预报进行了实际尝试。并将预测效果与传统的回归分析以及基于Fisher 判别准则的判别分析进行了比较。结果证明,这种方法在赤潮预测预报方面有一定的应用价值。

关 键 词:赤潮预报  回归分析  GRNN  Fisher准则  遗传算法
文章编号:1001-7119(2005)04-0485-06
修稿时间:2004-03-31

The Application of GRNN and Genetic Algorithm in the Forecast of Red Tide
SUN Rong-Hua,ZhANG Wei. The Application of GRNN and Genetic Algorithm in the Forecast of Red Tide[J]. Bulletin of Science and Technology, 2005, 21(4): 485-490
Authors:SUN Rong-Hua  ZhANG Wei
Abstract:The paper first discusses a forecast model of red tide which is based on Neural Network and genetic algorithm. According to the monitoring data of water quality, the red tide is forecasted using statistics and artificial intelligence. The forecast result is compared with the one of regression analytics and the other of differentiating analytics based on Fisher formula. It is proved that the forecast .method of red tide is available.
Keywords:the forecast of red tide  regression analytics  GRNN  Fisher formula  genetic algorithm
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