节点文献
基于人工神经网络的浮游植物密度预测模型研究
The Float Plant Density Forecast Model Research Which is Basic the Artificial Nervous Network
【摘要】 基于人工神经网络在赤潮预测中应用的基础,利用遗传算法对其网络结构进行优化之后,用于预测浮游植物密度有良好的成效,对赤潮预警系统的研究有实际的应用价值。文章介绍了浮游植物密度预测的人工神经网络模型和经过优化后的人工神经网络预测计算。
【Abstract】 It is must to be get the good result to forcasting the float plant density after selected the best structure of artificial nervous network by heredity calculation which is basic the application artificial nervous network in the red tide forecasting , it has the application value as reasurch the red tide forewarn system . This article introduced the artificial nervous network model of float plant density forecasting and the artificial nervous network forecasting caculation which is selected the best .
【关键词】 人工神经网络;
浮游植物;
赤潮;
预测;
【Key words】 artificial nervous network; float plant; red tide; forecasting;
【Key words】 artificial nervous network; float plant; red tide; forecasting;
【基金】 教育部科学技术重点研究项目(2000005624)天津市科技发展计划项目(023000811)资助
- 【文献出处】 气象水文海洋仪器 ,Meteorological Hydrological and Marine Instrument , 编辑部邮箱 ,2004年Z1期
- 【分类号】Q94-3
- 【被引频次】5
- 【下载频次】154