DocumentCode
3575987
Title
Parameters selection method of the leaky integrator echo state network for time series
Author
Xianshuang Yao ; Shuxian Lun
Author_Institution
Coll. of Eng., Bohai Univ. Jinzhou, Jinzhou, China
fYear
2014
Firstpage
1288
Lastpage
1293
Abstract
In this paper, we present a relation of the parameters selection of the Echo State Network (ESN), thus we can obtain the optimal performance of ESN. The parameters include mainly the leaking rate (μ), the spectral radius (μμ) and the size (μ) of reservoir units. For the limited length of a training sequence, a formulation of ESN parameters is developed to improve the training and testing accuracy and efficiency of ESN. Simulation experiments demonstrate that the formulation is valid.
Keywords
mathematics computing; recurrent neural nets; time series; ESN; echo state network; leaking rate; parameter selection method; reservoir unit size; spectral radius; time series; training sequence; Autoregressive processes; Data models; Mathematical model; Recurrent neural networks; Reservoirs; Testing; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN
978-1-4799-2537-7
Type
conf
DOI
10.1109/ICMC.2014.7231760
Filename
7231760
Link To Document