Related Experiment Video
Updated: May 21, 2026
06:43
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
Published on: May 2, 2018
Design optimization of wearable antennas using an adaptive network-based fuzzy inference system
Asrafuzzaman Khan Nahin1, Waleed M Hamanah2,3, Alaa Hussein1,4
1Electrical Engineering Department, College of Engineering and Physics, KFUPM, Dhahran, 31261, Saudi Arabia.
Scientific Reports
|May 19, 2026
Summary
This study introduces a data-driven framework using Adaptive Network-Based Fuzzy Inference System (ANFIS) to optimize wearable microstrip patch antenna designs. The ANFIS model rapidly predicts antenna geometry from performance metrics, accelerating wearable device prototyping.
Area of Science:
- Electromagnetics
- Antenna Engineering
- Computational Intelligence
Background:
- Wearable antennas require efficient design optimization for performance.
- Traditional simulation methods can be time-consuming for iterative design.
- Neuro-fuzzy systems offer potential for surrogate modeling in antenna design.
Purpose of the Study:
- To develop a data-driven optimization framework for wearable microstrip patch antennas.
- To utilize Adaptive Network-Based Fuzzy Inference System (ANFIS) for predicting antenna geometry.
- To evaluate the impact of membership functions on ANFIS model performance.
Main Methods:
- Generated a dataset of 500 samples using High-Frequency Structure Simulator (HFSS) simulations.
- Trained an ANFIS model with a 70/30 training-testing split.
- Evaluated four membership function types: triangular, trapezoidal, Gaussian, and generalized bell.
Main Results:
- ANFIS predictions showed strong agreement with HFSS simulations.
- Achieved sub-millimeter mean absolute errors for antenna patch dimensions.
- The generalized bell membership function demonstrated the most stable convergence and lowest prediction error.
Conclusions:
- The ANFIS framework enables rapid estimation of antenna geometry, reducing reliance on extensive simulations.
- This approach facilitates faster prototyping of wearable antennas.
- Membership function selection is critical for effective neuro-fuzzy modeling in antenna design.
Related Concept Videos
01:12Mesh Analysis for AC Circuits
In the domain of radio communication, the significance of impedance matching must be considered. It is crucial to ensure the efficient transmission of signals between radio transmitters and receivers. Achieving this balance involves using impedance-matching circuits, with one fundamental configuration comprising a resistor, capacitor, and inductor.
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
The process of harmonizing these impedances begins with a clear understanding of the input and output signals. Once these signals are known, the...
01:23Design Example
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...