Determining Resonant Frequencies of Various Microstrip Antennas within a Single Neural Model Trained Using Parallel Tabu Search Algorithm
Author:
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Radiation,Electronic, Optical and Magnetic Materials
Link
http://www.tandfonline.com/doi/pdf/10.1080/02726340591007013
Reference42 articles.
1. New determination of resonant frequency of circular disc microstrip antenna: application to thick substrate
2. Impedance characteristics of circular microstrip patches
3. Using genetic algorithms to select architecture of a feedforward artificial neural network
4. Training neural nets with the reactive tabu search
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1. Resonant Frequency Modelling of Microstrip Antennas by Consensus Network and Student’s-T Process;The Applied Computational Electromagnetics Society Journal (ACES);2024-04-16
2. Antenna Optimization Based on Auto-Context Broad Learning System;International Journal of Antennas and Propagation;2022-02-21
3. An optimized surrogate model using differential evolution algorithm for computing parameters of antennas;International Journal of Numerical Modelling: Electronic Networks, Devices and Fields;2021-09-06
4. Antenna optimization based on master-apprentice broad learning system;International Journal of Machine Learning and Cybernetics;2021-09-04
5. Resonant Frequency Modeling of Microstrip Antenna Based on Deep Kernel Learning;IEEE Access;2021
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