Abstract
Artificial neural networks are emerging as a powerful technology for RF and microwave characterization, modeling, and design. A neural modeler helps us to immediately start developing neural models for RF/microwave components and circuits and helps to provide neural models for our simulators. In this study, a novel fuzzy neural network structure is used for behavior of an active microwave device. Here, the device is modeled by a black box whose small signal and noise parameters are evaluated through a fuzzy clustering neural network based upon the fitting of both of these parameters.
Keywords
Artificial neural network
Microwave
Fuzzy logic
Computer science
Black box
Microwave imaging
Electronic engineering
Cluster analysis
Noise (video)
Neuro-fuzzy
Artificial intelligence
Fuzzy control system
Engineering
Telecommunications
Subject Areas
Neural Networks and Applications
·Artificial Intelligence ·Physical Sciences
Microwave Engineering and Waveguides
·Electrical and Electronic Engineering ·Physical Sciences
Photonic and Optical Devices
·Electrical and Electronic Engineering ·Physical Sciences
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