Neuro-Fuzzy Modelling of Time Series

Soft Computing for Risk Evaluation and Management - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-7908-1814-7_9 ◽

2001 ◽

pp. 140-154 ◽

Author(s):

Jianwei Zhang ◽

Alois Knoll

Keyword(s):

Time Series ◽

Fuzzy Modelling ◽

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A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2011.10.005 ◽

2012 ◽

Vol 25 (2) ◽

pp. 295-308 ◽

Author(s):

Chunshien Li ◽

Jhao-Wun Hu

Keyword(s):

Time Series ◽

Swarm Intelligence ◽

Time Series Forecasting ◽

Fuzzy Approach ◽

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Identification of IP packet transmission time series using neuro-fuzzy techniques

2011 International Conference on Multimedia Computing and Systems ◽

10.1109/icmcs.2011.5945681 ◽

2011 ◽

Author(s):

Samira Chabaa ◽

Jilali Antari ◽

Abdelouhab Zeroual

Keyword(s):

Time Series ◽

Packet Transmission ◽

Transmission Time ◽

Neuro Fuzzy ◽

Fuzzy Techniques ◽

Ip Packet ◽

Packet Transmission Time

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Coactive neuro-fuzzy modelling for colour recipe prediction

Proceedings of ICNN'95 - International Conference on Neural Networks ◽

10.1109/icnn.1995.487712 ◽

2002 ◽

Author(s):

E. Mizutani ◽

J.-S.R. Jang ◽

K. Nishio ◽

H. Takagi ◽

D.M. Anslander

Keyword(s):

Fuzzy Modelling ◽

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An Approach for Evolving Neuro-Fuzzy Forecasting of Time Series Based on Parallel Recursive Singular Spectrum Analysis

Fuzzy Sets and Systems ◽

10.1016/j.fss.2021.09.009 ◽

2021 ◽

Author(s):

Selmo Eduardo Rodrigues Júnior ◽

Ginalber Luiz de Oliveira Serra

Keyword(s):

Time Series ◽

Spectrum Analysis ◽

Singular Spectrum Analysis ◽

Singular Spectrum ◽

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A Hybrid Neuro-Fuzzy Model for Stock Market Time-Series Prediction

2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP) ◽

10.1109/dsmp.2018.8478494 ◽

2018 ◽

Author(s):

Alexander Vlasenko ◽

Olena Vynokurova ◽

Nataliia Vlasenko ◽

Marta Peleshko

Keyword(s):

Time Series ◽

Stock Market ◽

Time Series Prediction ◽

Fuzzy Model ◽

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Forecasting Financial Time Series Using Multiple Regression, Multi Layer Perception, Radial Basis Function and Adaptive Neuro Fuzzy Inference System Models: A Comparative Analysis

Computer and Information Science ◽

10.5539/cis.v5n6p13 ◽

2012 ◽

Vol 5 (6) ◽

Author(s):

Arindam Chaudhuri

Keyword(s):

Time Series ◽

Comparative Analysis ◽

Radial Basis Function ◽

Basis Function ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Financial Time Series ◽

Inference System ◽

Financial Time ◽

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Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites

Advances in Engineering Software ◽

10.1016/j.advengsoft.2014.12.010 ◽

2015 ◽

Vol 82 ◽

pp. 53-64 ◽

Author(s):

A.I. Azmi

Keyword(s):

Tool Wear ◽

Gfrp Composites ◽

Fuzzy Modelling ◽

Machining Forces ◽

Neuro Fuzzy ◽

Modelling Approaches

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Neuro-Fuzzy Modelling Using a Logistic Discriminant Tree

2007 American Control Conference ◽

10.1109/acc.2007.4283048 ◽

2007 ◽

Author(s):

Christoph Hametner ◽

Stefan Jakubek

Keyword(s):

Fuzzy Modelling ◽

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Prediction of the chaotic time series using neuro-fuzzy networks

Acta Physica Sinica ◽

10.7498/aps.52.795 ◽

2003 ◽

Vol 52 (4) ◽

pp. 795

Author(s):

Tan Wen ◽

Wang Yao-Nan ◽

Zhou　Shao-Wu ◽

Liu　Zu-Run

Keyword(s):

Time Series ◽

Chaotic Time Series ◽

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Neuro-fuzzy Modelling of a Linear Fresnel-type Solar Collector System as a Digital Twin

10.2991/asum.k.210827.033 ◽

2021 ◽

Author(s):

William D. Chicaiza ◽

Adolfo J. Sánchez ◽

Antonio J. Gallego ◽

Juan M. Escaño

Keyword(s):

Solar Collector ◽

Fuzzy Modelling ◽

Digital Twin ◽

Collector System ◽

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