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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 ...
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 ...
Improved Cryptanalysis Combining Differential And Artificial Neural Network Schemes
(Institute of Electrical and Electronics Engineers Inc., 2014)
Comparative Study on Data Mining Techniques Applied to Breast Cancer Gene Expression Profiles
(Scitepress, 2017-01-01)
Breast cancer has the second highest incidence among all cancer types and is the fifth cause of cancer related death among women. In Brazil, breast cancer mortality rates have been rising. Cancer classification is intricate, ...
A restricted boltzmann machine-based approach for robust dimensionality reduction
(2018-01-31)
Data dimensionality is an important issue to be adressed by pattern recognition systems. Despite of storage and processing, working with high-dimensional feature vectors also requires complex optimization methods. A proper ...
A simulator for Freeman K-sets in Java
(International Neural Network Society – INNSIEEE Computational Intelligence SocietyKillarney, 2015-07)
Freeman K-sets form a hierarchy of models of the dynamics of neuron populations at the mesoscopic (intermediate) level. The topology of connections is modeled by networks of excitatory and inhibitory populations of neurons; ...