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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 1996, 1(1), 113-118;

Neural Network Approach for the Characterisation of the Active Microwave Devices

Yildiz Technical University, Electronics & Communication Eng. Dept., 80670 MASIAK, ISTANBUL, Turkey
Boğaziçi University, Computer Eng. Dept., BEBEK, ISTANBUL, Turkey
Author to whom correspondence should be addressed.
Published: 1 June 1996
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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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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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