摘要
本文采用一种新型的三层神经网络 ,即隐蔽层具有知识神经元的神经网络 (NNKBN)模拟带状线电路中的十字交越不连续性。NNKBN模型由一组全波时域有限差分法产生的仿真数据进行训练而建立。数值实验表明NNKBN模型在许多方面优于传统的多层感知器模型。
A novel three-layer neural network with knowledge-based neurons (NNKBN) in hidden layer has been applied to model the crossover discontinuities in stripline circuits. The NNKBN model is electromagnetically developed with a set of data that are produced by the full-wave finite-difference time-domain method. Numerical experiments show that the NNKBN model has many advantages over the conventional multi-layer perceptron model.
出处
《微波学报》
CSCD
北大核心
2002年第2期24-27,共4页
Journal of Microwaves
基金
国家自然科学基金 (6 9876 0 0 5 )
四川省青年科技基金
教育部高等学校博士点基金 (2 0 0 10 6 140 0 3)资助项目
关键词
神经网络
知识神经元
带状线
十字交越不连续性
Neural network, Knowledge-based neuron, Stripline, Crossover discontinuity