遗传算法在智能天线辐射设计中的应用

S. Fulari, Harbinder Singh
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引用次数: 0

摘要

我们已经使用了运动模型,例如\begin{equation*}\frac{\partial^{2}p}{\partial x^{2}}-\frac{1}{c^{2}}\frac{\partial^{2}p}{\partial t^{2}}=0\end{equation*} Bergen等人推导的运动模型,它可以帮助天线更智能地工作。我们使用传统的物体检测方法重新定义了802.11天线,在天线的操作中赋予了第六感。这一原理将有助于天线在其运行范围覆盖范围内观察到一些智慧。我们希望天线以这样一种方式发展,这将有助于我们的任务变得简化,首先是关于辐射,天线只在所需的方向上辐射,只在需要与塔和设备连接的地方辐射。我们古老的光流贝特霍尔德角方程在这个方程的定义中起着重要的作用。我们结合遗传算法得到了很好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Intelligence In Design Of Smart Antenna Radiation Using Genetic Algorithm
We have used motion models such as derived by\begin{equation*}\frac{\partial^{2}p}{\partial x^{2}}-\frac{1}{c^{2}}\frac{\partial^{2}p}{\partial t^{2}}=0\end{equation*}Bergen et.al which can help antennas behave smartly. We have redefined 802.11 antennas using our traditional approaches of object detection in giving a 6th sense special to the antenna in its operation. This principle will help the antennas observe some wiseness in its range coverage of operation. We want the antenna to evolve in such a way which will help our task become simplified, firstly about radiation, by the antenna only radiating in the required direction, only where it is required for connecting with towers and devices. Our ancient optical flow by Berthold horn equation plays a major role in this definition of equations. We have good results working in combination of genetic algorithms.
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