The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
Research pipe network peripheral water quality prediction model based on neural network Gray metabolism
Author(s): 
Pages: 4-6
Year: Issue:  12
Journal: Automation & Instrumentation

Keyword:  Grey information renewalBP neural networkTerminal tap water quality prediction;
Abstract: 针对管网末梢水质环境存在信息不确定、非线性的情况,本文结合灰色预测“贫信息”及BP神经网络非线性拟合强的优点,提出了灰色新陈代谢神经网络预测模型.该模型采用灰色新陈代谢GM(1,1)模型对BP网络的输入样本进行预处理,解决了BP网络需要大量学习样本的局限.仿真结果表明,与灰色新陈代谢、BP神经网络相比,灰色新陈代谢神经网络预测精度更高.
Related Articles
No related articles found