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Abstract: BUMP CIRCUITS for computing similarity and dissimilarity of analog voltages Measurement of similarity is a fundamental nonlinear operation. In neural-network theory, classes of networks based on units that measure the similarity between input vectors and stored vectors are called radial-basis-function (RBF) networks, in contrast to conventional neural networks whose units bisect the space by hyperplanes. RBF networks have been found to be good for classification tasks where the data is... (Update)
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BibTeX entry: (Update)
T. Delbr#uck, #Bump circuits for computing similarity and dissimilarity of analog voltages" in Proc. of Intl. Joint Conf. on Neural Networks,vol 1. pp. I-475-479, 1991. http://citeseer.ist.psu.edu/delbr93bump.html More
@misc{ delbr91bump,
author = "T. Delbr",
title = "Bump circuits for computing similarity and dissimilarity of analog voltages",
text = "T. Delbr#uck, #Bump circuits for computing similarity and dissimilarity
of analog voltages in Proc. of Intl. Joint Conf. on Neural Networks,vol
1. pp. I-475-479, 1991.",
year = "1991",
url = "citeseer.ist.psu.edu/delbr93bump.html" }
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