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基于模糊神经网络(FNN)的赤潮预警预测研究
引用本文:张容,阎红,杜丽萍.基于模糊神经网络(FNN)的赤潮预警预测研究[J].海洋通报(英文版),2006,8(1):83-91.
作者姓名:张容  阎红  杜丽萍
作者单位:天津职业大学机械学院,天津,300402
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。

关 键 词:赤潮预测  模糊神经网络(FNN)  BP  算法
收稿时间:12 20 2005 12:00AM

Research on Prediction of Red Tide Based on Fuzzy Neural Network
ZHANG Rong,YAN Hong,DU Liping.Research on Prediction of Red Tide Based on Fuzzy Neural Network[J].Marina Science Bulletin,2006,8(1):83-91.
Authors:ZHANG Rong  YAN Hong  DU Liping
Institution:Mechanical College, Tianjin Professional University,Tianjin 300402, China
Abstract:In this paper, a four-layer fuzzy neural network using the Back Propagation (BP) Algorithm and the 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 the 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.
Keywords:red tide prediction  fuzzy neural network (FNN)  Back Propagation Algorithm  
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