Cost‐effective GRNN‐based modeling of microwave transistors with a reduced number of measurements
In this article, a simple, accurate, fast, and reliable black‐box modeling is proposed for the
scattering (S)‐parameters and noise (N)‐parameters of microwave transistors using the …
scattering (S)‐parameters and noise (N)‐parameters of microwave transistors using the …
Pareto optimal characterization of a microwave transistor
Herein, noise, gain and port mismatchings of a microwave small-signal transistor are
expressed as all the set of acceptable Pareto optimal solutions and trade-off relations within …
expressed as all the set of acceptable Pareto optimal solutions and trade-off relations within …
Competitive evolutionary algorithms for building performance database of a microwave transistor
In this work, the simultaneous trade‐off relations among the noise figure F, gain GT, input
Vin, and output Vout VSWRs of a microwave transistor operated at a certain (V DS, I DS, f) …
Vin, and output Vout VSWRs of a microwave transistor operated at a certain (V DS, I DS, f) …
[PDF][PDF] Design of a front–end amplifier for the maximum power delivery and required noise by HBMO with support vector microstrip model
Honey Bee Mating Optimization (HBMO) is a recent swarm-based optimization algorithm to
solve highly nonlinear problems, whose based approach combines the powers of simulated …
solve highly nonlinear problems, whose based approach combines the powers of simulated …
A simple and efficient honey bee mating optimization approach to performance characterization of a microwave transistor for the maximum power delivery and …
In this work, a simple, efficient and multi objective Honey Bee Mating Optimization (HBMO) is
presented for the performance characterization of a microwave transistor to deliver …
presented for the performance characterization of a microwave transistor to deliver …
Signal and noise modeling of microwave transistors using characteristic support vector-based sparse regression
In this work, an accurate and reliable S-and Noise (N)-parameter black-box models for a
microwave transistor are constructed based on the sparse regression using the Support …
microwave transistor are constructed based on the sparse regression using the Support …
Signal‐noise support vector model of a microwave transistor
In this work, a support vector machines (SVM) model for the small‐signal and noise
behaviors of a microwave transistor is presented and compared with its artificial neural …
behaviors of a microwave transistor is presented and compared with its artificial neural …
Physical parameter‐based data‐driven modeling of small signal parameters of a metal‐semiconductor field‐effect transistor
In this work, physical parameter‐based modeling of small signal parameters for a metal‐
semiconductor field‐effect transistor (MESFET) has been carried out as continuous functions …
semiconductor field‐effect transistor (MESFET) has been carried out as continuous functions …
Efficient scattering parameter modeling of a microwave transistor using generalized regression neural network
In this paper, a simple, accurate, fast and reliable black-box modeling is presented for the
Scattering (S-) parameters of a microwave transistor from the reduced amount of the discrete …
Scattering (S-) parameters of a microwave transistor from the reduced amount of the discrete …
Performance characterisation of a microwave transistor for the maximum output power and the required noise
S Demirel, F Güneş - IET Circuits, Devices & Systems, 2013 - Wiley Online Library
The performance characterisation of a microwave transistor is carried out rigorously based
on the linear circuit and noise theories, subject to the maximum output power and the …
on the linear circuit and noise theories, subject to the maximum output power and the …