常州大学学报（自然科学版）2013，Vol.25Issue(3)：62-65,4.DOI:10.3969/j.issn.2095-0411.2013.03.016
基于BP神经网络的太湖富营养化时空变化预测
Spatiotemporal Changes Prediction of Taihu Lake Based on BP Neural Network
摘要
Abstract
BP (Back Propagation) artificial neural network has excellent nonlinear approximation ability and can be used for prediction.In this paper,a BP neural network model with the topology of 5-9-1 is established for prediction and evaluation.Test results showed that this model is an effective way in predicting the eutrophication level of Taihu Lake,and the error between network output value and actual value is very little,so this model can be used in routine work for prediction and give necessary support to the water environment platform.关键词
太湖/富营养化/BP神经网络/预测Key words
Taihu Lake/ eutrophication/ BP neural network/ prediction分类
信息技术与安全科学引用本文复制引用
马正华,王腾,周炯如..基于BP神经网络的太湖富营养化时空变化预测[J].常州大学学报（自然科学版）,2013,25(3):62-65,4.基金项目
江苏省科技支持计划工业部分(BE2011061) （BE2011061）
