计算机工程与应用2012，Vol.48Issue(1)：228-230,248,4.DOI:10.3778/j.issn.1002-8331.2012.01.065
基于RBF神经网络的赤潮预测方法
Approach to red tide prediction on RBF neural network
摘要
Abstract
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Key words
red tide/Radial Basis Function(RBF) neural network/environment factors/red tide prediction分类
信息技术与安全科学引用本文复制引用
李慧,顾沈明..基于RBF神经网络的赤潮预测方法[J].计算机工程与应用,2012,48(1):228-230,248,4.基金项目
国家自然科学金(No.61075120) （No.61075120）
浙江省自然科学基金(No.Y5100054) （No.Y5100054）
浙江省科技厅优先主题资助项目(No.2008C13068). （No.2008C13068）
