Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Analysis and design of directional couplers based on AlxGa1−xAs by using an efficient neural networks: A design tool simulation implemented in C/C++

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Abreu-Cerqueira, T. ; Dept. of Electr. Eng., Fed. Univ. of Bahia, Salvador, Brazil ; Dourado-Sisnando, A. ; Rodriguez-Esquerre, V.F.

Directional couplers with planar geometry were analyzed and designed successfully and efficiently by means of neural networks. The considered material was the alloy of Aluminum, Gallium and Arsenic represented by AlxGa1-xAs. In this work, the needed data for training the neural networks were obtained through analytical solutions. Satisfactory results were obtained by the neural network, finally, a tool for the design and analysis of such couplers has been implemented in C/C++.

Published in:

Microwave & Optoelectronics Conference (IMOC), 2011 SBMO/IEEE MTT-S International

Date of Conference:

Oct. 29 2011-Nov. 1 2011