Modular neural network applied to non-stationary time series

Héctor Allende; Rodrigo Salas; Romina Torres; Claudio Moraga

doi:10.1007/3-540-31182-3_54

Modular neural network applied to non-stationary time series

Héctor Allende
, Rodrigo Salas
, Romina Torres
, Claudio Moraga

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

Abstract

Modular artificial neural networks (MANN) have been used in the last years as clasification/forecasting machine, showing improved generalization capabilities that outperform those of single networks when the search space is stratified.

Original language	English
Title of host publication	Computational Intelligence, Theory and Applications
Subtitle of host publication	International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29-Oct. 01, 2004 Proceedings
Editors	Bernd Reusch
Pages	585-598
Number of pages	14
DOIs	https://doi.org/10.1007/3-540-31182-3_54
State	Published - 2006
Externally published	Yes

Publication series

Name	Advances in Soft Computing
Volume	33
ISSN (Print)	1615-3871
ISSN (Electronic)	1860-0794

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Allende, H., Salas, R., Torres, R., & Moraga, C. (2006). Modular neural network applied to non-stationary time series. In B. Reusch (Ed.), Computational Intelligence, Theory and Applications: International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29-Oct. 01, 2004 Proceedings (pp. 585-598). (Advances in Soft Computing; Vol. 33). https://doi.org/10.1007/3-540-31182-3_54

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abstract = "Modular artificial neural networks (MANN) have been used in the last years as clasification/forecasting machine, showing improved generalization capabilities that outperform those of single networks when the search space is stratified.",

author = "H{\'e}ctor Allende and Rodrigo Salas and Romina Torres and Claudio Moraga",

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doi = "10.1007/3-540-31182-3\_54",

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Allende, H, Salas, R, Torres, R & Moraga, C 2006, Modular neural network applied to non-stationary time series. in B Reusch (ed.), Computational Intelligence, Theory and Applications: International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29-Oct. 01, 2004 Proceedings. Advances in Soft Computing, vol. 33, pp. 585-598. https://doi.org/10.1007/3-540-31182-3_54

Modular neural network applied to non-stationary time series. / Allende, Héctor; Salas, Rodrigo; Torres, Romina et al.
Computational Intelligence, Theory and Applications: International Conference 8th Fuzzy Days in Dortmund, Germany, Sept. 29-Oct. 01, 2004 Proceedings. ed. / Bernd Reusch. 2006. p. 585-598 (Advances in Soft Computing; Vol. 33).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Modular neural network applied to non-stationary time series

AU - Allende, Héctor

AU - Salas, Rodrigo

AU - Torres, Romina

AU - Moraga, Claudio

PY - 2006

Y1 - 2006

N2 - Modular artificial neural networks (MANN) have been used in the last years as clasification/forecasting machine, showing improved generalization capabilities that outperform those of single networks when the search space is stratified.

AB - Modular artificial neural networks (MANN) have been used in the last years as clasification/forecasting machine, showing improved generalization capabilities that outperform those of single networks when the search space is stratified.

UR - https://www.scopus.com/pages/publications/33845449057

U2 - 10.1007/3-540-31182-3_54

DO - 10.1007/3-540-31182-3_54

M3 - Chapter

AN - SCOPUS:33845449057

SN - 3540228071

SN - 9783540228073

T3 - Advances in Soft Computing

SP - 585

EP - 598

BT - Computational Intelligence, Theory and Applications

A2 - Reusch, Bernd

ER -

Modular neural network applied to non-stationary time series

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