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An analog implementation of radial basis neural networks (RBNN) using BiCMOS technology
(2001-12-01)
This paper describes a analog implementation of radial basis neural networks (RBNN) in BiCMOS technology. The RBNN uses a gaussian function obtained through the characteristic of the bipolar differential pair. The gaussian ...
An analog implementation of radial basis neural networks (RBNN) using BiCMOS technology
(2001-12-01)
This paper describes a analog implementation of radial basis neural networks (RBNN) in BiCMOS technology. The RBNN uses a gaussian function obtained through the characteristic of the bipolar differential pair. The gaussian ...
EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2003-06)
EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2003-06)
EM-Based Optimization of Microwave Circuits using Artificial Neural Networks
(IEEE MTT-S Int. Microwave Symp. Workshop Notes and Short Courses, 2013)
Neuromodeling of microwave circuits exploiting space mapping technology
(IEEE Trans. Microwave Theory Tech;47, 1999-12)
RBF circuits based on folded cascode differential pairs
(2008-12-01)
We propose new circuits for the implementation of Radial Basis Functions such as Gaussian and Gaussian-like functions. These RBFs are obtained by the subtraction of two differential pair output currents in a folded cascode ...