Practical implementation of a radial basis function network for handwritten digit recognition

Autor:	B. Lemarie
Rok vydání:	2002
Předmět:	Reduction (complexity) ComputingMethodologies_PATTERNRECOGNITION Radial basis function network Artificial neural network Handwriting recognition Computer science business.industry Pattern recognition Radial basis function Artificial intelligence business Interpolation
Zdroj:	ICANN ’93 ISBN: 9783540198390 ICDAR
DOI:	10.1109/icdar.1993.395705
Popis:	A practical implementation of a radial basis function network for handwritten digit recognition is described. Inspired from regularization theory and Parzen windows nonparametric estimator, radial basis function networks are tested for a classification task. Reduction of the number of hidden nodes, which is an important and necessary step to obtain a computationally tractable network, is made using an original technique. A comparison is made with the k-nearest-neighbor method. Results appear better for the network at a much lower computational cost. >
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ec0990bba1d2db9f3a072f14451de20 https://doi.org/10.1109/icdar.1993.395705 Zobrazit plný text záznamu