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Efficient supervised learning neural network: an architecture and algorithm
Chen C.L.Philip; LeClair Steven R.
1994-12-01
Source PublicationArtificial Neural Networks in Engineering - Proceedings (ANNIE'94)
Volume4Pages:179-184
AbstractAn instant learning algorithm is given to decide the weights of a supervised single-hidden layer neural network. For an n dimensional, N-pattern training set, a maximum of N-r hidden nodes are required to learn all the patterns within a given precision (where r is the rank, usually the dimension, of the input patterns). An instant learning algorithm and proposed architecture are given. Several examples show very promising result.
URLView the original
Language英語English
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Document TypeJournal article
CollectionUniversity of Macau
AffiliationWright State University
Recommended Citation
GB/T 7714
Chen C.L.Philip,LeClair Steven R.. Efficient supervised learning neural network: an architecture and algorithm[J]. Artificial Neural Networks in Engineering - Proceedings (ANNIE'94), 1994, 4, 179-184.
APA Chen C.L.Philip., & LeClair Steven R. (1994). Efficient supervised learning neural network: an architecture and algorithm. Artificial Neural Networks in Engineering - Proceedings (ANNIE'94), 4, 179-184.
MLA Chen C.L.Philip,et al."Efficient supervised learning neural network: an architecture and algorithm".Artificial Neural Networks in Engineering - Proceedings (ANNIE'94) 4(1994):179-184.
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