| 基于模糊神经网络(FNN)的赤潮预警预测研究 |
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| 引用本文： | 王洪礼,葛根,李悦雷.基于模糊神经网络(FNN)的赤潮预警预测研究[J].海洋通报,2006,25(4):36-41. |
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| 作者姓名： | 王洪礼 葛根 李悦雷 |
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| 作者单位： | 天津大学机械工程学院,天津,300072 |
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| 摘 要： | 为研究各种理化因子与赤潮藻类浓度间的非线性对应规律和有效预测赤潮藻类浓度,构建了基于BP算法的一个四层模糊神经网络模型。将模糊神经网络(FNN)技术引入赤潮预测研究,并与普通BP网络、RBF网络的结果作比较,结果表明,该模型能够较好地反演出各种理化因子与夜光藻密度的非线性对应变化规律,有更好的预测功能。
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| 关 键 词： | 赤潮预测 模糊神经网络(FNN) BP算法 |
| 文章编号： | 1001-6392（2006）04-0036-06 |
| 收稿时间： | 2005-08-25 |
| 修稿时间： | 2005-08-252005-11-04 |
Research on the Prediction of Red Tide Based on the Fuzzy Neural Network |
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| WANG Hongli,GE Gen,LI Yuelei.Research on the Prediction of Red Tide Based on the Fuzzy Neural Network[J].Marine Science Bulletin,2006,25(4):36-41. |
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| Authors: | WANG Hongli GE Gen LI Yuelei |
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| Institution: | Mechanical Engineering College, Tianjin University, Tianjin 300072, China |
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| Abstract: | In this paper, one four-layer fuzzy neural network using the Back Propagation Algorithm and fuzzy logic was built to study the nonlinear relationships between different physical- chemical factors and the denseness of red tide algae, and to anticipate the denseness of red tide algae. For the first time, the fuzzy neural network technology was applied to research the prediction of red tide. Compared with BP network and RBF network, the outcome of this method is better. |
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| Keywords: | R ed tide prediction Fuzzy Neural Network ( FNN ) Back Propagation Algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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