The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON ELECTRONICS
Transactions ID Number: 42-441
Full Name: Lakshmi Narayana Jammula
Position: Professor
Age: ON
Sex: Male
Address: D.No:2-115,Tadigadapa,Vijayawada,Andhra Pradesh
Country: INDIA
Tel: 09848674007
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E-mail address: jln_9976@yahoo.com
Other E-mails: jammulalakshminarayana@gmail.com
Title of the Paper: A Neural Network Modeling Approach for the Analysis of Lange Coupler
Authors as they appear in the Paper: J.Lakshmi Narayana , Dr.K.Sri Rama Krishna, K.Anusha
Email addresses of all the authors: jln_9976@ yahoo.com,srk_kalva @ yahoo.com,anushakurapati@ymail.com
Number of paper pages: 10
Abstract: Neural networks are efficient alternatives to conventional methods such as numerical modeling methods which could be computationally expensive, or analytical methods which could be difficult to obtain for new devices, or empirical models whose range and accuracy could be limited. Neural-networks have also been used for solving a wide variety of RF and Microwave Computer Aided Design (CAD) problems. This paper describes the design and analysis of a Lange Coupler using Coupled Microstrip Line and presents a simple Artificial Neural Network (ANN) model to determine the Magnitude and Phase variations (S-Parameters) for various frequencies. Performance of the proposed model is evaluated in terms of average and maximum estimated errors using different Neural Network Training Algorithms.
Keywords: Lange Coupler, Coupled Microstrip line, S-parameters, ANN models, Training Algorithms
EXTENSION of the file: .doc
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