Learning and predicting time series by neural networks

被引：0

作者：

Freking, A ^{[1
]}

Kinzel, W

Kanter, I

机构：

[1] Univ Wurzburg, Inst Theoret Phys & Astrophys, D-97074 Wurzburg, Germany

[2] Bar Ilan Univ, Minerva Ctr, IL-52900 Ramat Gan, Israel

[3] Bar Ilan Univ, Dept Phys, IL-52900 Ramat Gan, Israel

来源：

PHYSICAL REVIEW E | 2002年 / 65卷 / 05期

关键词：

D O I：

暂无

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

Artificial neural networks which are trained on a time series are supposed to achieve two abilities: first, to predict the series many time steps ahead and second, to learn the rule which has produced the series. It is shown that prediction and learning are not necessarily related to each other. Chaotic sequences can be learned but not predicted while quasiperiodic sequences can be well predicted but not learned.

引用

页数：4

共 50 条

[41] Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks [J].

Ubal, Cristian ;

Di-Giorgi, Gustavo ;

Contreras-Reyes, Javier E. ;

Salas, Rodrigo .

MACHINE LEARNING AND KNOWLEDGE EXTRACTION, 2023, 5 (04) :1340-1358

[42] Convolutional neural networks for time series classification [J].

Bendong Zhao ;

Huanzhang Lu ;

Shangfeng Chen ;

Junliang Liu ;

Dongya Wu .

JournalofSystemsEngineeringandElectronics, 2017, 28 (01) :162-169

[43] Time series forecasting with qubit neural networks [J].

Azevedo, Carlos R. B. ;

Ferreira, Tiago A. E. .

PROCEDINGS OF THE 11TH IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, 2007, :13-18

[44] Time series prediction with wavelet neural networks [J].

Cristea, P ;

Tuduce, R ;

Cristea, A .

NEUREL 2000: PROCEEDINGS OF THE 5TH SEMINAR ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, 2000, :7-10

[45] Time series prediction with granular neural networks [J].

Song, Mingli ;

Li, Yan ;

Pedrycz, Witold .

NEUROCOMPUTING, 2023, 546

[46] Modular Neural Networks in Time Series Modelling [J].

Averkin, Alexey ;

Yarushev, Sergey .

2016 FIFTEENTH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (MICAI): ADVANCES IN ARTIFICIAL INTELLIGENCE, 2016, :63-68

[47] Time Series Generation by Recurrent Neural Networks [J].

A. Priel ;

I. Kanter .

Annals of Mathematics and Artificial Intelligence, 2003, 39 :315-332

[48] Delayed time series predictions with neural networks [J].

Conway, AJ ;

Macpherson, KP ;

Brown, JC .

NEUROCOMPUTING, 1998, 18 (1-3) :81-89

[49] Recurrent neural networks for time series classification [J].

Hüsken, M ;

Stagge, P .

NEUROCOMPUTING, 2003, 50 :223-235

[50] Convolutional Neural Networks for Time Series Classification [J].

Zebik, Mariusz ;

Korytkowski, Marcin ;

Angryk, Rafal ;

Scherer, Rafal .

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2017, PT II, 2017, 10246 :635-642

← 1 2 3 4 5 →