人工神经网络
反射系数
电介质
介电常数
异丙醇
材料科学
反射(计算机编程)
相对介电常数
介电常数
生物系统
计算机科学
人工智能
光学
光电子学
工程类
物理
化学工程
生物
程序设计语言
作者
P.G. Bartley,R. W. McClendon,S.O. Nelson
标识
DOI:10.1109/imtc.1999.776714
摘要
An Artificial Neural Network (ANN) was trained to determine the dielectric properties of materials from reflection coefficient measurements of an open-ended coaxial probe. The ANN was trained by using measurements made on eleven water/isopropyl alcohol solutions. Coefficient of determination values of 0.999 were obtained. This approach has the potential of greatly simplifying the characterization of new dielectric probe designs.
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