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Deterministic Echo State Networks Based Stock Price Forecasting
Joint Authors
Dan, Jingpei
Guo, Wenbo
Zhang, Tingping
Shi, Weiren
Fang, Bin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-26
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Echo state networks (ESNs), as efficient and powerful computational models for approximating nonlinear dynamical systems, have been successfully applied in financial time series forecasting.
Reservoir constructions in standard ESNs rely on trials and errors in real applications due to a series of randomized model building stages.
A novel form of ESN with deterministically constructed reservoir is competitive with standard ESN by minimal complexity and possibility of optimizations for ESN specifications.
In this paper, forecasting performances of deterministic ESNs are investigated in stock price prediction applications.
The experiment results on two benchmark datasets (Shanghai Composite Index and S&P500) demonstrate that deterministic ESNs outperform standard ESN in both accuracy and efficiency, which indicate the prospect of deterministic ESNs for financial prediction.
American Psychological Association (APA)
Dan, Jingpei& Guo, Wenbo& Shi, Weiren& Fang, Bin& Zhang, Tingping. 2014. Deterministic Echo State Networks Based Stock Price Forecasting. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1033543
Modern Language Association (MLA)
Dan, Jingpei…[et al.]. Deterministic Echo State Networks Based Stock Price Forecasting. Abstract and Applied Analysis No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1033543
American Medical Association (AMA)
Dan, Jingpei& Guo, Wenbo& Shi, Weiren& Fang, Bin& Zhang, Tingping. Deterministic Echo State Networks Based Stock Price Forecasting. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1033543
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033543