Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm

S
SBRN
2002
VII Brazilian Symposium on Neural Networks (SBRN'02)
Abstract - Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm

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	Similar Articles Articles by Marcelo Azevedo Costa Articles by Antônio Pádua Braga Articles by Benjamin Rodrigues de Menezes

VII Brazilian Symposium on Neural Networks (SBRN'02)

Pernambuco, Brazil

November 11-November 14

ISBN: 0-7695-1709-9

	ASCII Text	x
	Marcelo Azevedo Costa, Antônio Pádua Braga, Benjamin Rodrigues de Menezes, "Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm," Neural Networks, Brazilian Symposium on, pp. 44, VII Brazilian Symposium on Neural Networks (SBRN'02), 2002.

	BibTex	x
	@article{ 10.1109/SBRN.2002.1181433, author = {Marcelo Azevedo Costa and Antônio Pádua Braga and Benjamin Rodrigues de Menezes}, title = {Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm}, journal ={Neural Networks, Brazilian Symposium on}, volume = {0}, year = {2002}, isbn = {0-7695-1709-9}, pages = {44}, doi = {http://doi.ieeecomputersociety.org/10.1109/SBRN.2002.1181433}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, Brazilian Symposium on TI - Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm SN - 0-7695-1709-9 SP EP A1 - Marcelo Azevedo Costa, A1 - Antônio Pádua Braga, A1 - Benjamin Rodrigues de Menezes, PY - 2002 KW - null VL - 0 JA - Neural Networks, Brazilian Symposium on ER -

Marcelo Azevedo Costa, Federal University of Minas Gerais

Antônio Pádua Braga, Federal University of Minas Gerais

Benjamin Rodrigues de Menezes, Federal University of Minas Gerais

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SBRN.2002.1181433

A variation of the well known Levenberg-Marquardt for training neural networks is presented in this work. The algorithm presented restricts the norm of the weigths vector to a preestablished norm value and finds the minimum error solution for that norm value. A range of different norm solutions is generated and the best generalization solution is selected. The results show the efficiency of the algorithm in terms of convergence speed and generalization performance.

Citation:

Marcelo Azevedo Costa, Antônio Pádua Braga, Benjamin Rodrigues de Menezes, "Improved generalization learning with Sliding Mode Control and the Levenberg-Marquadt Algorithm," sbrn, pp.44, VII Brazilian Symposium on Neural Networks (SBRN'02), 2002

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