电子科技大学学报2011，Vol.40Issue(6)：815-824,10.DOI:10.3969/j.issn.1001-0548.2011.06.002
知识型神经网络的射频/微波器件建模方法
Knowledge-Based Neural Networks for Modeling of Radio-Freq uency/Microwave Components
摘要
Abstract
An overview of advanced neural network methods for modeling radio-frequency (RF) and microwave electronic devices is presented.Knowledge-based engineering concept is utilized where the knowledge of RF/microwave electronics in the form of equivalent circuits and empirical formulas is combined with neural networks.Advantages of adding knowledge on the performance of the neural models in terms of generalization ability versus different sizes of training data through a knowledge based neural network (KBNN) technique are demonstrated and examples of comparisons with conventional MLP (without any knowledge-base) are given.Several methods of combining existing circuit models with neural networks,including the source difference method,the prior knowledge input method,and the space-mapped neural models,are also introduced.Application examples on modeling microwave transmission line and high electron mobility transistor (HEMT) device demonstrate that KBNN is an efficient approach for modeling various types of microwave devices.关键词
知识型/建模/神经网络/射频/微波电子器件Key words
knowledge-based engineering/ modeling/ neural networks/ radio-frequency/microwave electronic devices分类
信息技术与安全科学引用本文复制引用
田毅贞,张齐军..知识型神经网络的射频/微波器件建模方法[J].电子科技大学学报,2011,40(6):815-824,10.基金项目
Supported by the Tianjin Science and Technology Commission(10ZCKFGX01500)天津市科技支撑计划(10ZCKFGX0 1500) （10ZCKFGX01500）
