A neural network for generating diverse decision boundaries with a minimal number of parameters

A neural network for generating diverse decision boundaries with a minimal number of parameters

We present a neural network architecture that can provide a large number of flexible decision boundaries for pattern recognition using a minimal number of parameters. A biologically compatible implementation of the network leads to greater discrimination power.

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Hauptverfasser: Bankman, Isaac N., Sadowsky, John, Sigillito, Vincent G.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biology
Surface morphology
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creator Bankman, Isaac N.
Sadowsky, John
Sigillito, Vincent G.
description We present a neural network architecture that can provide a large number of flexible decision boundaries for pattern recognition using a minimal number of parameters. A biologically compatible implementation of the network leads to greater discrimination power.
doi_str_mv 10.1109/IEMBS.1992.5761240
format Conference Proceeding
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ispartof 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992, Vol.3, p.1039-1041
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Biology
Surface morphology
title A neural network for generating diverse decision boundaries with a minimal number of parameters
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