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• W2004075725 abstract "The author extends a previous review and focuses on feed-forward neural-net classifiers for static patterns with continuous-valued inputs. He provides a taxonomy of neural-net classifiers, examining probabilistic, hyperplane, kernel, and exemplar classifiers. He then discusses back-propagation and decision-tree classifiers; matching classifier complexity to training data; GMDH (generalized method of data handling) networks and high-order nets; K nearest-neighbor classifiers; the feature-map classifier; the learning vector quantizer; hypersphere classifiers; and radial-basis function classifiers.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
• W2004075725 created "2016-06-24" @default.
• W2004075725 creator A5043314383 @default.
• W2004075725 date "1989-11-01" @default.
• W2004075725 modified "2023-10-11" @default.
• W2004075725 title "Pattern classification using neural networks" @default.
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• W2004075725 doi "https://doi.org/10.1109/35.41401" @default.
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