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Math. Comput. Appl. 1996, 1(1), 113-118; doi:10.3390/mca1010113

Neural Network Approach for the Characterisation of the Active Microwave Devices

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.
Published: 1 June 1996
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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.
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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