ZHANG Dong-zhi, XIA Bo-kai, REN Dong-yan. Intelligent detecting system based on mixture of expert networks[J]. 2007, (6): 77-79+93. DOI: 10.13873/j.1000-97872007.06.016.
基于混合专家网络的智能检测系统
摘要
为解决原油含水率测量中存在的问题
提出一种基于多传感器技术的智能检测系统
对原油的水分、温度、水矿化度进行检测
并采用混合专家网络对多传感器信息进行智能融合处理
以提高含水率的检测精度。在提出的混合专家网络中
采用了专家决策、多神经网络集成等先进技术
且专家子网络采用LM算法和最优停止法相结合以确定网络最佳权值
提高模型的泛化能力。仿真结果表明:该混合专家网络模型在原油含水率测量系统中取得很好的应用效果
获得较高的测量精度。
Abstract
Based on multi-sensor technology
an intelligent detecting system is proposed to solve problems in the measurement of water content ratio in crude oil.In this system
water content
temperature and water salinity in crude oil are detected
and then multi-sensor information fusion technology based on mixture of expert networks is used to improve detecting precision of water content.Some advanced technologies
such as expert decision and multiple neural network integration
are introduced in the mixture expert networks.Furthermore
LM arithmetic and early stopping method are integrated in the expert sub-network for choosing optimization weights to improve generalization ability of network model.The simulation results show that the model of the mixture expert networks can be used well in the intelligent detecting system for water content ratio in crude oil