Functional echo state network for time series classification

DOI10.1016/j.ins.2016.08.081zbMath1429.68256OpenAlexW2510434276MaRDI QIDQ2293045

Qianli Ma, Zhiwen Yu, Weibiao Chen, Lifeng Shen, Jiabin Wang, Jia Wei

Publication date: 6 February 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2016.08.081

zbMATH Keywords

temporal aggregationtime series classificationecho state networkfunctional space

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Artificial neural networks and deep learning (68T07)

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Cites Work

• Unnamed Item
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• Reservoir computing approaches to recurrent neural network training
• A time series forest for classification and feature extraction
• Kernel sparse representation for time series classification
• Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification
• Time series classification with ensembles of elastic distance measures
• Invariant trajectory classification of dynamical systems with a case study on ECG
• A new echo state network with variable memory length
• Edge of chaos and prediction of computational performance for neural circuit models
• An experimental unification of reservoir computing methods
• Automatic speech recognition using a predictive echo state network classifier
• Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
• Nearest neighbor pattern classification