遗传算法在微波谐振腔水分测量中的应用
AppIication of Genetic AIgorithm for Moisture Content Determination
邹治军1
作者信息
摘要
在微波谐振腔水分测量技术研究中，建立谐振参量和物料水分之间的非线性函数关系是重要内容。BP网络具有良好的非线性函数估计能力，遗传算法具有全局寻优的特点。遗传算法与BP算法相结合，可提高神经网络的学习速度与精度，实现微波谐振腔水分测量精度的提高。
Abstract
In the research on technique for moisture content determination using microwave resonator, establishes a nonlinear relationship between the resonant parameters and the moisture content is important. BP network has a good estimation ability of nonlinear function, genetic al-gorithm has the characteristics of global optimization. The combination of genetic algorithm and BP algorithm can improve the learning speed and accuracy of neural network, improve the measurement accuracy of moisture content.
关键词
谐振腔/BP网络/遗传算法/品质因数Key words
Resonator/BP Network/Genetic Algorithm/Quality Factor引用本文复制引用
基金项目
南京科技职业学院青年专项基金(NHKY-2010-28)
出版年
2015
NETL
NSTL
维普
万方数据