Add to ORKGAbstract — Recently, authors have proposed neural networks for modelling the temperature dependences of elements and parameters of microwave transistor small-signal equivalent circuit including noise. This neural model enables the prediction of modelled device noise parameters for any operating temperature. In this paper, an improvement of the neural model accuracy is proposed. It is done by using an additional neural network aimed to correct the noise parameters ’ values. I
Using analytical iterative methods, simulation of microwave devices is complicated: computing time i...
Abstract — neural network algorithms have been applied to a variety of areas of engineering and micr...
An overview of neural network-based modeling techniques and their applications in microwave modeling...
Recently, authors have proposed neural networks for modelling the temperature dependences of element...
In this paper an efficient procedure for determination of small-signal and noise behavior of microwa...
The microwave transistor noise wave model is defined by the parameters called the noise wave tempera...
Small-signal and noise behaviour of an active microwave device is modeled through the neural network...
Abstract. In the recent PSpice programs, five types of the GaAs FET model have been implemented. How...
In order to analyze the behavior of PAs at different temperature, this paper propose a neural networ...
We found different performances for the same device due to the variations in the process from die to...
This paper presents a new approach to microwave circuit analysis and optimization featuring neural n...
In this paper a small-signal and noise transistor model with the associated extraction procedure is ...
Abstract—During the last two decades, several simulation tools have been proposed for the modeling o...
Abstract: In the recent PSpice programs, five types of the GaAs FET model have been implemented. How...
Artificial neural networks (ANNs) are presented for the technology-independent modeling of active de...
Using analytical iterative methods, simulation of microwave devices is complicated: computing time i...
Abstract — neural network algorithms have been applied to a variety of areas of engineering and micr...
An overview of neural network-based modeling techniques and their applications in microwave modeling...
Recently, authors have proposed neural networks for modelling the temperature dependences of element...
In this paper an efficient procedure for determination of small-signal and noise behavior of microwa...
The microwave transistor noise wave model is defined by the parameters called the noise wave tempera...
Small-signal and noise behaviour of an active microwave device is modeled through the neural network...
Abstract. In the recent PSpice programs, five types of the GaAs FET model have been implemented. How...
In order to analyze the behavior of PAs at different temperature, this paper propose a neural networ...
We found different performances for the same device due to the variations in the process from die to...
This paper presents a new approach to microwave circuit analysis and optimization featuring neural n...
In this paper a small-signal and noise transistor model with the associated extraction procedure is ...
Abstract—During the last two decades, several simulation tools have been proposed for the modeling o...
Abstract: In the recent PSpice programs, five types of the GaAs FET model have been implemented. How...
Artificial neural networks (ANNs) are presented for the technology-independent modeling of active de...
Using analytical iterative methods, simulation of microwave devices is complicated: computing time i...
Abstract — neural network algorithms have been applied to a variety of areas of engineering and micr...
An overview of neural network-based modeling techniques and their applications in microwave modeling...