Supervised Machine Learning Model for Accurate Output Prediction of Various Antenna Designs

Author:

Indharapu Sai S.1,Caruso Anthony N.1,Durbhakula Kalyan C.1

Affiliation:

1. University of Missouri-Kansas City,Missouri Institute for Defense and Energy,CSEE Department,Kansas City,MO,USA,64110

Funder

University of Missouri

Publisher

IEEE

Reference4 articles.

1. Introduction to k-nearest neighbors: a powerful machine learning algorithm (with implementation in python & r);srivasava;Anal Vidhya,2018

2. A Modified Efficient KNN Method for Antenna Optimization and Design

3. Machine Learning Techniques for Optimizing Design of Double T-Shaped Monopole Antenna

4. Microstrip antenna design using neural networks optimized by PSO

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2. A Spatial Inverse Design Method (SIDM) Based on Machine Learning for Frequency-Selective-Surface (FSS) Structures;IEEE Transactions on Antennas and Propagation;2024-03

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5. Next Generation Antenna Design Synthesis Framework Using k-Nearest Neighbours Algorithm;2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI);2023-07-23

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