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Chaotic Time Series Prediction Based on a Novel Robust Echo State Network

Author
DECAI LI1 ; MIN HAN1 ; JUN WANG2
[1] Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Liaoning 116023, China
[2] Department of Mechanical and Automation Engineering, Chinese University of Hong Kong, Shatin, Hong-Kong
Source

IEEE transactions on neural networks and learning systems (Print). 2012, Vol 23, Num 5, pp 787-799, 13 p ; ref : 38 ref

ISSN
2162-237X
Scientific domain
Cognition; Electronics; Computer science; Psychology, psychopathology, psychiatry
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Echo state network (ESN) Laplace likelihood function robust model surrogate function
Keyword (fr)
Apprentissage probabilités Apprentissage supervisé Chaos Estimation Bayes Estimation paramètre Fonction vraisemblance Loi normale Modélisation Observation aberrante Optimisation Processus Gauss Réseau neuronal Série temporelle Réseau neuronal récurrent
Keyword (en)
Probability learning Supervised learning Chaos Bayes estimation Parameter estimation Likelihood function Gaussian distribution Modeling Outlier Optimization Gaussian process Neural network Time series Recurrent neural nets
Keyword (es)
Aprendizaje probabilidades Aprendizaje supervisado Caos Estimación Bayes Estimación parámetro Función verosimilitud Curva Gauss Modelización Observación aberrante Optimización Proceso Gauss Red neuronal Serie temporal Red neuronal recurrente
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
25861855

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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