A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate

I
IJCNN
2000
IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4
Abstract - A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate

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	Similar Articles Articles by Jés J.F. Cerqueira Articles by Álvaro G.B. Palhares Articles by Marconi K. Madrid

IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	Jés J.F. Cerqueira, Álvaro G.B. Palhares, Marconi K. Madrid, "A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 4, pp. 4517, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000.

	BibTex	x
	@article{ 10.1109/IJCNN.2000.860823, author = {Jés J.F. Cerqueira and Álvaro G.B. Palhares and Marconi K. Madrid}, title = {A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate}, journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on}, volume = {4}, year = {2000}, issn = {1098-7576}, pages = {4517}, doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860823}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on TI - A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate SN - 1098-7576 SP EP A1 - Jés J.F. Cerqueira, A1 - Álvaro G.B. Palhares, A1 - Marconi K. Madrid, PY - 2000 VL - 4 JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on ER -

Jés J.F. Cerqueira, Universidade Estadual de Campinas

Álvaro G.B. Palhares, Universidade Estadual de Campinas

Marconi K. Madrid, Universidade Estadual de Campinas

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860823

This paper presents as complement for the back-propagation algorithm, a local convergence analysis gotten from a vectorial approach. The analysis is made through application of Lyapunov's second method, and it supplies an upper bound for the learning rate.

Citation:

Jés J.F. Cerqueira, Álvaro G.B. Palhares, Marconi K. Madrid, "A Complement to the Back-Propagation Algorithm: An Upper Bound for the Learning Rate," ijcnn, vol. 4, pp.4517, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000

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