Journal Article

·1996 OPEN ACCESS

Neural Network Approach for the Characterisation of the Active Microwave Devices

Hamid Torpi YTU , Filiz Güneş YTU , Fikret Gürgen

Mathematical and Computational Applications

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 multiplebias 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.

Keywords

Artificial neural network Computer science Microwave Nonlinear system SIGNAL (programming language) Noise (video) Black box Electronic engineering Artificial intelligence Engineering Telecommunications Physics

Subject Areas

Microwave Engineering and Waveguides ·Electrical and Electronic Engineering ·Physical Sciences
Semiconductor Lasers and Optical Devices ·Electrical and Electronic Engineering ·Physical Sciences
Radio Frequency Integrated Circuit Design ·Electrical and Electronic Engineering ·Physical Sciences

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