Sensitivity Analysis of Echo State Networks for Forecasting Pseudo-Periodic Time Series

Gerardo Rubino; Sebastián Basterrech; Vaslav Snasel

Conference Papers Year : 2015

Sensitivity Analysis of Echo State Networks for Forecasting Pseudo-Periodic Time Series

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Gerardo Rubino

Function : Author

Dependability Interoperability and perfOrmance aNalYsiS Of networkS

Sebastián Basterrech

Function : Author

Dependability Interoperability and perfOrmance aNalYsiS Of networkS

Vaslav Snasel

Function : Author

Technical University of Ostrava [Ostrava]

Domains

Machine Learning [cs.LG] Artificial Intelligence [cs.AI]

Gerardo Rubino : Connect in order to contact the contributor

https://inria.hal.science/hal-01261188

Submitted on : Sunday, January 24, 2016-7:09:04 PM

Last modification on : Friday, March 24, 2023-2:53:01 PM

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hal-01261188 , version 1 (24-01-2016)

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HAL Id : hal-01261188 , version 1

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Gerardo Rubino, Sebastián Basterrech, Vaslav Snasel. Sensitivity Analysis of Echo State Networks for Forecasting Pseudo-Periodic Time Series. Soft Computing and Pattern Recognition (SOCPAR 2015), Nov 2015, Fukuoka, Japan. ⟨hal-01261188⟩

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Sensitivity Analysis of Echo State Networks for Forecasting Pseudo-Periodic Time Series

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