基于RBF神经网络的赤潮预测方法  

Approach to red tide prediction on RBF neural network

作　　者：李慧[1] 顾沈明[1] 

机构地区：[1]浙江海洋学院数理与信息学院,浙江舟山316000

出　　处：《计算机工程与应用》2012年第1期228-230,248,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61075120);浙江省自然科学基金(No.Y5100054);浙江省科技厅优先主题资助项目(No.2008C13068)

摘　　要：赤潮是一种由多因素综合作用引发的生态异常现象,具有突发性及非线性等特点。对其进行预测预报一直是海洋科学研究的热点。简要介绍了RBF神经网络的基本原理,探讨了应用该人工神经网络进行赤潮预测的方法。利用RBF神经网络模型对赤潮灾害监测数据进行仿真实验,并对结果进行了分析。Red tide is an anomalous phenomenon and is characterized by abruptness and nonlinearity, so the red tide prediction has been a hotspot in the oceanographic studies. The fundamentals of RBF neural network are briefly introduced, and the application of artificial neural network method to the red tide prediction is discussed. Based on the RBF neural network, the simulation experiments are also illustrated by using red tide monitoring data, and the experimental analysis is also proposed.

关 键 词：赤潮 径向基函数(RBF)神经网络 环境因子 赤潮预报 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]