Abstract. With this paper we want to present a black-box model, that can be applied to a vast number of RF electron devices (e.g. FET). We will show that an analytical Volterra series approximation of the nonlinear behavior time-dependent model of an electron device can be built using a neural network and its parameters, once the proper training data are given
We explore the identification of neuronal voltage traces by artificial neural networks based on wave...
A teclinology-independent, mathematical approach is proposed for the look-up-table based nonlinear m...
Nonlinear microwave device modeling is an important part of computer-aided design (CAD) and many pap...
In this work we want to present a novel application of Neural Networks as a Black-Box model, which a...
Abstract. We have developed a Neural Network model able to reproduce some nonlinear characteristics ...
We have developed a Neural Network model able to reproduce some nonlinear characteristics of an elec...
We have developed a Neural Network model able to reproduce some nonlinear characteristics of an ele...
are applied to modeling of electronic circuits. ANNs are used for application of the black-box model...
This paper presents a black-box model that can be applied to characterize the nonlinear dynamic beha...
This paper presents a black-box model that can be applied to characterize the nonlinear dynamic beha...
Small-signal and noise behaviour of an active microwave device is modeled through the neural network...
This paper presents a novel technique to develop device models for semiconductor devices which inclu...
A technology-independent large-signal model of electron devices, the nonlinear integral model (NIM)...
A new approach to the approximation of nonlinear characteristics for look-up table based electron de...
This paper presents a new approach to build RF dynamic behavioral models, based on time-delay neural...
We explore the identification of neuronal voltage traces by artificial neural networks based on wave...
A teclinology-independent, mathematical approach is proposed for the look-up-table based nonlinear m...
Nonlinear microwave device modeling is an important part of computer-aided design (CAD) and many pap...
In this work we want to present a novel application of Neural Networks as a Black-Box model, which a...
Abstract. We have developed a Neural Network model able to reproduce some nonlinear characteristics ...
We have developed a Neural Network model able to reproduce some nonlinear characteristics of an elec...
We have developed a Neural Network model able to reproduce some nonlinear characteristics of an ele...
are applied to modeling of electronic circuits. ANNs are used for application of the black-box model...
This paper presents a black-box model that can be applied to characterize the nonlinear dynamic beha...
This paper presents a black-box model that can be applied to characterize the nonlinear dynamic beha...
Small-signal and noise behaviour of an active microwave device is modeled through the neural network...
This paper presents a novel technique to develop device models for semiconductor devices which inclu...
A technology-independent large-signal model of electron devices, the nonlinear integral model (NIM)...
A new approach to the approximation of nonlinear characteristics for look-up table based electron de...
This paper presents a new approach to build RF dynamic behavioral models, based on time-delay neural...
We explore the identification of neuronal voltage traces by artificial neural networks based on wave...
A teclinology-independent, mathematical approach is proposed for the look-up-table based nonlinear m...
Nonlinear microwave device modeling is an important part of computer-aided design (CAD) and many pap...