Efficient Non Linear Time Series Prediction Using Non Linear Signal Analysis and Neural Networks in Chaotic Diode Resonator Circuits

Advances in Data Mining. Theoretical Aspects and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-540-73435-2_26 ◽

2007 ◽

pp. 329-338 ◽

Author(s):

M. P. Hanias ◽

D. A. Karras

Keyword(s):

Neural Networks ◽

Time Series ◽

Signal Analysis ◽

Linear Time ◽

Time Series Prediction ◽

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On efficient multistep non-linear time series prediction in chaotic diode resonator circuits by optimizing the combination of non-linear time series analysis and neural networks

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2008.04.016 ◽

2009 ◽

Vol 22 (1) ◽

pp. 32-39 ◽

Author(s):

M.P. Hanias ◽

D.A. Karras

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Analysis ◽

Linear Time ◽

Time Series Prediction ◽

Series Analysis ◽

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Threshold single multiplicative neuron artificial neural networks for non-linear time series forecasting

Journal of Applied Statistics ◽

10.1080/02664763.2020.1869702 ◽

2021 ◽

pp. 1-17

Author(s):

Asiye Nur Yildirim ◽

Eren Bas ◽

Erol Egrioglu

Keyword(s):

Neural Networks ◽

Time Series ◽

Artificial Neural Networks ◽

Linear Time ◽

Time Series Forecasting ◽

Artificial Neural

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A non-linear time series prediction method for missing daily flow rate data of Middle Firat Catchment

Energy Procedia ◽

10.1016/j.egypro.2011.05.038 ◽

2011 ◽

Vol 6 ◽

pp. 331-336

Author(s):

A. Albostan ◽

B. Barutcu ◽

B. Onoz

Keyword(s):

Time Series ◽

Flow Rate ◽

Linear Time ◽

Time Series Prediction ◽

Prediction Method ◽

Rate Data ◽

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Design of a non-linear time series prediction model for daily electricity demand forecasting

International Journal of Business Innovation and Research ◽

10.1504/ijbir.2013.053633 ◽

2013 ◽

Vol 7 (3) ◽

pp. 298 ◽

Author(s):

S. Uma ◽

A. Chitra ◽

J. Suganthi

Keyword(s):

Time Series ◽

Prediction Model ◽

Linear Time ◽

Time Series Prediction ◽

Demand Forecasting ◽

Electricity Demand ◽

Electricity Demand Forecasting ◽

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Data augmentation using a combination of independent component analysis and non-linear time-series prediction

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) ◽

10.1109/ijcnn.2002.1005514 ◽

2003 ◽

Author(s):

T. Eltoft

Keyword(s):

Time Series ◽

Independent Component Analysis ◽

Data Augmentation ◽

Linear Time ◽

Time Series Prediction ◽

Component Analysis ◽

Independent Component ◽

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Improved Non Linear Time Series Forecasting Using Non Linear Analysis Techniques and RBF Neural Networks for MRS Signals and Chaotic Diode Resonator Circuits

Communications in Computer and Information Science - Grid and Distributed Computing, Control and Automation ◽

10.1007/978-3-642-17625-8_25 ◽

2010 ◽

pp. 245-256

Author(s):

D. A. Karras ◽

M. P. Hanias

Keyword(s):

Neural Networks ◽

Time Series ◽

Linear Time ◽

Linear Analysis ◽

Time Series Forecasting ◽

Rbf Neural Networks ◽

Analysis Techniques ◽

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Study and application of non-linear time series prediction in ground source heat pump system

2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet) ◽

10.1109/cecnet.2012.6201751 ◽

2012 ◽

Author(s):

Lu Wang ◽

Li Tan ◽

Chongchong Yu ◽

Zijun Wu

Keyword(s):

Time Series ◽

Heat Pump ◽

Linear Time ◽

Time Series Prediction ◽

Ground Source Heat Pump ◽

Pump System ◽

Heat Pump System ◽

Ground Source ◽

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Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction

Soft Computing ◽

10.1007/s00500-013-1139-y ◽

2013 ◽

Vol 18 (6) ◽

pp. 1213-1224 ◽

Author(s):

Oscar Castillo ◽

Juan R. Castro ◽

Patricia Melin ◽

Antonio Rodriguez-Diaz

Keyword(s):

Neural Networks ◽

Time Series ◽

Time Series Prediction ◽

Fuzzy Neural Networks ◽

Fuzzy Neural ◽

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Estimating the Conditional Mean of a Non-linear Time Series Using Neural Networks

Neural Nets WIRN Vietri-99 - Perspectives in Neural Computing ◽

10.1007/978-1-4471-0877-1_47 ◽

1999 ◽

pp. 423-428

Author(s):

Francesco Giordano ◽

Cira Perna

Keyword(s):

Neural Networks ◽

Time Series ◽

Linear Time ◽

Conditional Mean ◽

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AN APPLICATION OF NON-LINEAR PROGRAMMING TO TRAIN RECURRENT NEURAL NETWORKS IN TIME SERIES PREDICTION PROBLEMS

Proceedings of the Seventh International Conference on Enterprise Information Systems ◽

10.5220/0002515800350042 ◽

2005 ◽

Keyword(s):

Neural Networks ◽

Time Series ◽

Linear Programming ◽

Recurrent Neural Networks ◽

Time Series Prediction ◽

Non Linear Programming ◽

Prediction Problems

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