DocumentCode :
2346626
Title :
Performance Evaluation of ANN Models for the Analysis of Microstrip Band Pass Filters
Author :
Kushwah, Vivek Singh ; Tomar, Geetam S. ; Sharma, Fanindra Mohan
Author_Institution :
Amity Sch. of Eng. & Technol., New Delhi, India
fYear :
2010
fDate :
26-28 Nov. 2010
Firstpage :
36
Lastpage :
40
Abstract :
This paper presents the design and analysis of Micro strip Band pass Filter at 8 GHz. An artificial neural network model to determine the Magnitude and Phase variations of scattering parameters (S-parameters) of these filters is also proposed for various frequencies. Performance of the proposed model is evaluated in terms of average and maximum estimated errors. Comparison of the EM simulated Results with neural models is also presented.
Keywords :
band-pass filters; electronic engineering computing; microstrip filters; microwave filters; neural nets; performance evaluation; EM simulated results; S-parameters; artificial neural network models; frequency 8 GHz; magnitude variations; microstrip bandpass filters; performance evaluation; phase variations; scattering parameters; ANN models; IE3D EM Simulation; Microstrip Band Pass Filters; S-parameters; Training Algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2010 International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4244-8653-3
Electronic_ISBN :
978-0-7695-4254-6
Type :
conf
DOI :
10.1109/CICN.2010.18
Filename :
5701933
Link To Document :
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