微波开槽贴片天线的经验-神经混合模型

2006 8th Seminar on Neural Network Applications in Electrical Engineering Pub Date : 2006-09-01 DOI:10.1109/NEUREL.2006.341207

B. Milovanovic, Z. Stanković, M. Milijić

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引用次数: 2

摘要

提出了一种新的经验-神经混合模型(HEN)，用于开槽贴片天线的建模。与基于经典多层感知器(MLP)网络的模型不同，本文提出的HEN模型包含了对贴片天线行为的谐振频率和S11参数最小值(s11min)行为的现有部分知识，可以更准确地确定贴片天线参数

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Hybrid Empirical-Neural Model of Microwave Slotted Patch Antennas

This paper presents a new hybrid empirical-neural model (HEN) for slotted patch antenna modeling. Unlike the model based on a classical multi-layer perceptron (MLP) network, the proposed HEN model includes an existing partial knowledge about both the resonant frequency fr behavior and the minimum value of S11 parameter (s11min) behavior of patch antenna, yielding more accurate determination of these patch antenna parameters

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2006 8th Seminar on Neural Network Applications in Electrical Engineering

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