Design of Micro Strip Patch Antennas Using Knowledge Based Soft Computing Techniques

Comparative Study of Soft Computing Techniques for Micro Strip Patch Antenna Design

Abstract

This paper explainsdifferent computing techniques for the design of Micro strip patch antenna. Theperformance of antenna is significantly influenced by the selection oftechnique used to design antenna. In this paper three dissimilar soft computingtechniques are presented and compared. The mainly lately used techniquesArtificial Neural Networks (ANNs), Fuzzy Logic (FL) and Adaptive Neuro-FuzzyInference System (ANFIS) are explained. Antenna design is simulated for allthree techniques and result is compared with every additional. ANFIS is themost efficient technique to use. As far as number of training data set isconcern ANFIS necessitate small data set and hence ANFIS provides optimizationtoo. Micro strip antenna design using a soft computing tool Artificial NeuralNetwork the planned patch antenna is designed and replicated on the Zeland IE3Dsoftware and the outcomes are trained and verified using Artificial Neuralnetworks.