Selection of inputs is one of the most substantial components of classification algorithms for
data mining and pattern recognition problems since even the best classifier will perform …

The aim of this study is to develop a novel fuzzy clustering neural network (FCNN) algorithm
as pattern classifiers for real‐time odor recognition system. In this type of FCNN, the input …

In today's radiofrequency and microwave communication circuits, there is an ever-increasing
demand for higher integration and miniaturization. This trend leads to massive …

In today's RF and microwave circuits, there is an ever‐increasing demand for higher level of
system integration that leads to massive computational tasks during simulation, optimization …

The design of microwave systems requires accurate modeling of the behavior of active
components such as MOSFETs, MODFETs, MESFETs, and HEMTs. This aspect is crucial …

This paper presents a novel approach for the design of microwave circuits using Adaptive
Network Fuzzy Inference Optimizer (ANFIO). The method takes advantage of direct synthesis …

Widely used in RF/microwave systems, active devices like field effect transistors (FETs) need
to be accurately modeled to achieve a reliable system design. In this paper, the authors …

Because of the increasing demand for ever-higher level of electronic device integration and
miniaturization, modern design requires massive computational tasks during simulation …

The design of radiofrequency systems and microwaves requires reliable models, particularly
for components more sensitive than those of transmitters. In the paper the authors present …

Artificial neural networks are emerging as a powerful technology for RF and microwave
characterization, modeling, and design. Neuron modeler is the first software in the industry …