Adaptive Neuro-Fuzzy Inference System for Computing the Resonant Frequency of Circular Microstrip Antennas

Abstract

A new method for computing the resonant frequency of the circular microstrip antenna, based on the adaptive neuro-fuzzy inference system (ANFIS), is presented. A hybrid learning algorithm is used to identify the parameters of ANFIS. The results of the new method are in excellent agreement with the experimental results reported elsewhere.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2004
Accession Number
ADA438625

Entities

People

  • Kerim Guney
  • Nurcan Sarikaya

Organizations

  • Erciyes University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Agreements
  • Algorithms
  • Computations
  • Computer-Aided Design
  • Curve Fitting
  • Data Sets
  • Electronics
  • Engineering
  • Frequency
  • Genetic Algorithms
  • Integral Equations
  • Integrated Circuits
  • Learning
  • Networks
  • Resonant Frequency

Fields of Study

  • Engineering

Readers

  • Artificial Intelligence
  • Microwave Engineering.
  • Trauma or Military Medicine

Technology Areas

  • AI & ML
  • Microelectronics