Functional deep echo state network improved by a bi-level optimization approach for multivariate time series classification

Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS

(2019) Weichao Yue et al.   International Journal of Machine Learning and Cybernetics

Broad Echo State Network for Multivariate Time Series Prediction

(2019) Xianshuang Yao et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Optimizing echo state network with backtracking search optimization algorithm for time series forecasting

(2019) Zhigang Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Adaptive over-sampling method for classification with application to imbalanced datasets in aluminum electrolysis

(2019) Zhaoke Huang et al.   NEURAL COMPUTING & APPLICATIONS

Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network

(2019) Xianshuang Yao et al.   NEURAL NETWORKS

Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm

(2019) Zhaoke Huang et al.   Cognitive Computation

An echo state network architecture based on quantum logic gate and its optimization

(2019) Junxiu Liu et al.   NEUROCOMPUTING

Constrained multi-objective optimization algorithms: Review and comparison with application in reinforced concrete structures

(2019) Hamid Afshari et al.   APPLIED SOFT COMPUTING

PSO-based growing echo state network

(2019) Ying Li et al.   APPLIED SOFT COMPUTING

DeePr-ESN: A deep projection-encoding echo-state network

(2019) Qianli Ma et al.   INFORMATION SCIENCES

Evolving Deep Echo State Networks for Intelligent Fault Diagnosis

(2019) Jianyu Long et al.   IEEE Transactions on Industrial Informatics

Wavelet-denoising multiple echo state networks for multivariate time series prediction

(2018) Meiling Xu et al.   INFORMATION SCIENCES

A Novel Cognitively Inspired State Transition Algorithm for Solving the Linear Bi-Level Programming Problem

(2018) Zhaoke Huang et al.   Cognitive Computation

Set-point Tracking and Multi-objective Optimization-Based PID Control for the Goethite Process

(2018) Xiaojun Zhou et al.   IEEE Access

Design of deep echo state networks

(2018) Claudio Gallicchio et al.   NEURAL NETWORKS

A hybrid feature selection method based on binary state transition algorithm and ReliefF

(2018) Zhaoke Huang et al.   IEEE Journal of Biomedical and Health Informatics

Fuzzy-Based Multierror Constraint Control for Switched Nonlinear Systems and Its Applications

(2018) Lei Liu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Convolutional neural networks for time series classification

(2017) Bendong Zhao et al.   Journal of Systems Engineering and Electronics

Deep belief echo-state network and its application to time series prediction

(2017) Xiaochuan Sun et al.   KNOWLEDGE-BASED SYSTEMS

Deep reservoir computing: A critical experimental analysis

(2017) Claudio Gallicchio et al.   NEUROCOMPUTING

Echo State Property of Deep Reservoir Computing Networks

(2017) Claudio Gallicchio et al.   Cognitive Computation

Multilayered Echo State Machine: A Novel Architecture and Algorithm

(2017) Zeeshan Khawar Malik et al.   IEEE Transactions on Cybernetics

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis cell condition

(2017) Weichao Yue et al.   Frontiers of Chemical Science and Engineering

An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm

(2016) Lin Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Functional echo state network for time series classification

(2016) Qianli Ma et al.   INFORMATION SCIENCES

Accurate and efficient classification based on common principal components analysis for multivariate time series

(2016) Hailin Li   NEUROCOMPUTING

Learning a Mahalanobis Distance-Based Dynamic Time Warping Measure for Multivariate Time Series Classification

(2016) Jiangyuan Mei et al.   IEEE Transactions on Cybernetics

Multivariate time series classification with parametric derivative dynamic time warping

(2015) Tomasz Górecki et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles

(2015) Anthony Bagnall et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Early classification on multivariate time series

(2015) Guoliang He et al.   NEUROCOMPUTING

Learning a symbolic representation for multivariate time series classification

(2014) Mustafa Gokce Baydogan et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Classification of multivariate time series via temporal abstraction and time intervals mining

(2014) Robert Moskovitch et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A review on time series data mining

(2010) Tak-chung Fu   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE