Prediction of Meander Delay System Parameters for Internet-of-Things Devices Using Pareto-Optimal Artificial Neural Network and Multiple Linear Regression

Prediction of Meander Delay System Parameters for Internet-of-Things Devices Using Pareto-Optimal Artificial Neural Network and Multiple Linear Regression

Meander structures are highly relevant in the Internet-of-Things (IoT) communication systems, their miniaturization remains as one of the key design issues. Meander structures allow to decrease the size of the IoT device, while maintaining the same operating parameters of the IoT device. Meander str...

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Bibliographic Details
Main Authors: Darius Plonis, Andrius Katkevicius, Antanas Gurskas, Vytautas Urbanavicius, Rytis Maskeliunas, Robertas Damasevicius
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Antenna arrays
antenna measurements
artificial neural networks
Internet of Things
Online Access:https://ieeexplore.ieee.org/document/9000631/

Internet

https://ieeexplore.ieee.org/document/9000631/

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