基于BP神经网络的藻类生长预测研究  

Prediction of Alga Growth Based on BP Neural Networks

作　　者：高卫峰[1] 姚志红[1] 

机构地区：[1]上海交通大学,200240

出　　处：《微计算机信息》2005年第10S期167-169,共3页Control & Automation

摘　　要：藻类的生长是湖泊、水库等水体污染程度的一个直接表现形式。本文将BP神经网络作为藻类生长的预测模型,基于L-M算法实现了长期预测模型。通过对一引黄水库藻类生长的预测,表明了这种预测模型的可行性,从而可用于环境污染的防治。The growth of algae is a direct manifestation of water pollution in lakes, reservoirs and so on. This paper presents a BP neural network to predict the alga growth. This model, which is based on Levenberg-Marquardt algorithm, can he used to predict the long-term growth of algae. The predictions of alga growth of a Yellow River reservoir are given to illustrate the feasibility of the proposed model, thereby this model is conducive to the prevention and treatment of environmental pollution.

关 键 词：Levenberg—Marquardt算法 神经网络 藻类生长 预测 

分 类 号：TP342[自动化与计算机技术—计算机系统结构]