Next Article in Journal
The Overall Assurance Interval for the Non-Archimedean Epsilon in DEA Models
Previous Article in Journal
A New Encoding Decoding Scheme for Text Compression with Embedded Security
 
 
Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Neural Network Approach for the Characterisation of the Active Microwave Devices

by
Hamid Torpi
1,*,
Filiz Güneş
1 and
Fikret Gürgen
2
1
Yildiz Technical University, Electronics & Communication Eng. Dept., 80670 MASIAK, ISTANBUL, Turkey
2
Boğaziçi University, Computer Eng. Dept., BEBEK, ISTANBUL, Turkey
*
Author to whom correspondence should be addressed.
Math. Comput. Appl. 1996, 1(1), 113-118; https://doi.org/10.3390/mca1010113
Published: 1 June 1996

Abstract

Small-signal and noise behaviour of an active microwave device is modeled through the neural network approach for multiple bias/configurations.Here ,the device is modelled by a black box whose small signal and noise parameters are evaluated through a neural network,based upon the fitting of both of these parameters for the multiple
bias or configuration. The concurrent modelling procedure does not require to solve device pbysics equations repeatedly during optimization. Compared to the existing device modelling techniques, the proposed approach has the capability to make bighdimensional models for higbly nonlinear devices.

Share and Cite

MDPI and ACS Style

Torpi, H.; Güneş, F.; Gürgen, F. Neural Network Approach for the Characterisation of the Active Microwave Devices. Math. Comput. Appl. 1996, 1, 113-118. https://doi.org/10.3390/mca1010113

AMA Style

Torpi H, Güneş F, Gürgen F. Neural Network Approach for the Characterisation of the Active Microwave Devices. Mathematical and Computational Applications. 1996; 1(1):113-118. https://doi.org/10.3390/mca1010113

Chicago/Turabian Style

Torpi, Hamid, Filiz Güneş, and Fikret Gürgen. 1996. "Neural Network Approach for the Characterisation of the Active Microwave Devices" Mathematical and Computational Applications 1, no. 1: 113-118. https://doi.org/10.3390/mca1010113

Article Metrics

Back to TopTop