Hua-Liang Wei - RankMe

112 papers A 2Misc 5Journal 75Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	NARX-MLP: A Hybrid Model for Accurate Interpretable Medical Data Classification. ICMLT Bo Sun, Guoliang Wang, Hua-Liang Wei
2025	J	`jnl`	New Class Detection in Network Traffic Classification Using Confidence Information Embedded Cascade Structure. IEEE Trans. Netw. Sci. Eng. Haotian Lu, Yuning Dong, Zhiyuan Wu, Hua-Liang Wei, Guanming Lu
2025	—	`conf`	SAFE-IML: Sparsity-Aware Feature Extraction for Interpretable Machine Learning with Two-Stage Neural Network Modelling. ICMLT Hua-Liang Wei
2025	—	`conf`	System Identification and Interpretable Modelling of Dynamical Systems with Small Data Using Sparse Bayesian Learning. IWSSIP Hua-Liang Wei
2024	J	`jnl`	A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. Shi-Zheng Yuan, Zhao-Hua Liu, Hua-Liang Wei, Lei Chen, Mingyang Lv, Xiao-Hua Li
2024	J	`jnl`	A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data. Expert Syst. Appl. Zhao-Hua Liu, Chang-Tong Wang, Hua-Liang Wei, Bing Zeng, Ming Li, Xiao-Ping Song
2024	—	`conf`	On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO. MED Hua-Liang Wei
2024	—	`conf`	Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning. MED Yuanlin Gu, Hua-Liang Wei
2023	J	`jnl`	A Tensor-based domain alignment method for intelligent fault diagnosis of rolling bearing in rotating machinery. Reliab. Eng. Syst. Saf. Zhao-Hua Liu, Liang Chen, Hua-Liang Wei, Fa-Ming Wu, Lei Chen, Ya-Nan Chen
2023	J	`jnl`	A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery. Reliab. Eng. Syst. Saf. Bi-Liang Lu, Yingjie Zhang, Zhaohua Liu, Hua-Liang Wei, Qingshuai Sun
2023	J	`jnl`	An effective zero-shot learning approach for intelligent fault detection using 1D CNN. Appl. Intell. Siyu Zhang, Hua-Liang Wei, Jinliang Ding
2023	J	`jnl`	Online Classification of Network Traffic Based on Granular Computing. IEEE Trans. Syst. Man Cybern. Syst. Pingping Tang, Yuning Dong, Shiwen Mao, Hua-Liang Wei, Jiong Jin
2022	J	`jnl`	A Coarse-to-Fine Bilevel Adversarial Domain Adaptation Method for Fault Diagnosis of Rolling Bearings. IEEE Trans. Instrum. Meas. Zhao-Hua Liu, Liang Chen, Hua-Liang Wei, Ying Zhang, Lei Chen, Mingyang Lv
2022	—	`conf`	A Hybrid 1DCNN-SVM Model for Bearing Fault Recognition and Classification. ICAC Guoliang Wang, Hua-Liang Wei
2022	J	`jnl`	A fast manhattan frame estimation method based on normal vectors. J. Field Robotics Yutong Zhang, Yan Ding, Jianmei Song, Jiaxin Li, Hua-Liang Wei
2022	J	`jnl`	An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor. Complex Syst. Model. Simul. Zhong Liao, Zhaohua Liu, Lei Chen, Mingyang Lyu, Zhengheng Wang, Dian Wang, Fa-Ming Wu, Hua-Liang Wei
2022	—	`conf`	Efficient Mask Attention-Based NARMAX (MAB-NARMAX) Model Identification. ICAC Yiming Sun, Hua-Liang Wei
2022	—	`conf`	Machine Learning for Medical and Healthcare Data Analysis and Modelling: Case Studies and Performance Comparisons of Different Methods. ICAC Bo Sun, Hua-Liang Wei
2022	—	`conf`	Multi-Task Learning for Time Series Forecasting Using NARMAX-LSTM. ICAC Nerfita Nikentari, Hua-Liang Wei
2022	J	`jnl`	Multimedia Traffic Classification for Imbalanced Environment. IEEE Trans. Netw. Sci. Eng. Zheng Wu, Yu-Ning Dong, Jiong Jin, Hua-Liang Wei, Gaogang Xie
2022	J	`jnl`	SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking. CoRR Jiaxin Li, Yan Ding, Hua-Liang Wei
2022	J	`jnl`	SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking. Sensors Jiaxin Li, Yan Ding, Hua-Liang Wei, Yutong Zhang, Wenxiang Lin
2022	—	`conf`	Tide Level Prediction Using NARX-based Recurrent Neural Networks. ICAC Nerfita Nikentari, Hua-Liang Wei
2022	—	`conf`	Zero-Shot Learning for Intelligent Fault Detection. ICAC Siyu Zhang, Hua-Liang Wei
2021	J	`jnl`	A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Prediction of Rolling Bearing. IEEE Trans. Artif. Intell. Bi-Liang Lu, Zhao-Hua Liu, Hua-Liang Wei, Lei Chen, Hongqiang Zhang, Xiao-Hua Li
2021	J	`jnl`	A Global to Local Double Embedding Method for Multi-person Pose Estimation. CoRR Yiming Xu, Jiaxin Li, Yiheng Peng, Yan Ding, Hua-Liang Wei
2021	J	`jnl`	A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings. Int. J. Autom. Comput. Zhao-Hua Liu, Xudong Meng, Hua-Liang Wei, Liang Chen, Bi-Liang Lu, Zhenheng Wang, Lei Chen
2021	J	`jnl`	A Stacked Auto-Encoder Based Partial Adversarial Domain Adaptation Model for Intelligent Fault Diagnosis of Rotating Machines. IEEE Trans. Ind. Informatics Zhao-Hua Liu, Bi-Liang Lu, Hua-Liang Wei, Lei Chen, Xiao-Hua Li, Chang-Tong Wang
2021	J	`jnl`	A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification. Neural Comput. Appl. Qinghua Wang, Hua-Liang Wei, Lina Wang, Song Xu
2021	J	`jnl`	An efficient bilevel differential evolution algorithm with adaptation of lower level population size and search radius. Memetic Comput. Lianghong Wu, Zhenzu Liu, Hua-Liang Wei, Rui Wang
2021	J	`jnl`	Characterising Linear Spatio-Temporal Dynamical Systems in the Frequency Domain. CoRR Hua-Liang Wei
2021	J	`jnl`	Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. Zhao-Hua Liu, Bi-Liang Lu, Hua-Liang Wei, Lei Chen, Xiao-Hua Li, Matthias Rätsch
2021	J	`jnl`	FSD-BRIEF: A Distorted BRIEF Descriptor for Fisheye Image Based on Spherical Perspective Model. Sensors Yutong Zhang, Jianmei Song, Yan Ding, Yating Yuan, Hua-Liang Wei
2021	J	`jnl`	Hybrid Deep Learning Model for Short-Term Wind Speed Forecasting Based on Time Series Decomposition and Gated Recurrent Unit. Complex Syst. Model. Simul. Chang-Tong Wang, Zhaohua Liu, Hua-Liang Wei, Lei Chen, Hongqiang Zhang
2021	J	`jnl`	Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives. CoRR Hua-Liang Wei, S. A. Billings
2021	J	`jnl`	Nonlinear Modeling of Cortical Responses to Mechanical Wrist Perturbations Using the NARMAX Method. IEEE Trans. Biomed. Eng. Yuanlin Gu, Yuan Yang, Julius P. A. Dewald, Frans C. T. van der Helm, Alfred C. Schouten, Hua-Liang Wei
2021	J	`jnl`	Optimal Transport-Based Deep Domain Adaptation Approach for Fault Diagnosis of Rotating Machine. IEEE Trans. Instrum. Meas. Zhaohua Liu, Lin-Bo Jiang, Hua-Liang Wei, Lei Chen, Xiao-Hua Li
2021	J	`jnl`	Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems. CoRR Hua-Liang Wei, S. A. Billings
2020	—	`conf`	A Global to Local Double Embedding Method for Multi-person Pose Estimation. ACCV (5) Yiming Xu, Jiaxin Li, Yan Ding, Hua-Liang Wei
2020	J	`jnl`	A Multiple Beta Wavelet-Based Locally Regularized Ultraorthogonal Forward Regression Algorithm for Time-Varying System Identification With Applications to EEG. IEEE Trans. Instrum. Meas. Yang Li, Jing-Bo Zhang, Wei-Gang Cui, Heng Yuan, Hua-Liang Wei
2020	J	`jnl`	Consistency measure based simultaneous feature selection and instance purification for multimedia traffic classification. Comput. Networks Zheng Wu, Yu-Ning Dong, Hua-Liang Wei, Wei Tian
2020	J	`jnl`	Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection. Int. J. Autom. Comput. Carlos Beltran Perez, Hua-Liang Wei, Adrian Rubio-Solis
2020	J	`jnl`	LdsConv: Learned Depthwise Separable Convolutions by Group Pruning. Sensors Wenxiang Lin, Yan Ding, Hua-Liang Wei, Xinglin Pan, Yutong Zhang
2019	J	`jnl`	A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs. IEEE Trans. Biomed. Eng. Yang Li, Meng-Ying Lei, Wei-Gang Cui, Yuzhu Guo, Hua-Liang Wei
2019	J	`jnl`	A novel logistic-NARX model as a classifier for dynamic binary classification. Neural Comput. Appl. José Roberto Ayala Solares, Hua-Liang Wei, Stephen A. Billings
2019	—	`conf`	Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting. IWANN (1) Hua-Liang Wei
2019	J	`jnl`	Distractor-Aware Deep Regression for Visual Tracking. Sensors Ming Du, Yan Ding, Xiuyun Meng, Hua-Liang Wei, Yifan Zhao
2019	—	`conf`	Machine Learning Enhanced NARMAX Model for Dst Index Forecasting. ICAC Yuanlin Gu, Hua-Liang Wei, Michael A. Balikhin, Richard J. Boynton, Simon N. Walker
2019	—	`conf`	NARMAX Model as a Sparse, Interpretable and Transparent Machine Learning Approach for Big Medical and Healthcare Data Analysis. HPCC/SmartCity/DSS Stephen A. Billings, Hua-Liang Wei
2019	—	`conf`	Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis. IWANN (1) Hua-Liang Wei
2018	J	`jnl`	A robust model structure selection method for small sample size and multiple datasets problems. Inf. Sci. Yuanlin Gu, Hua-Liang Wei
2018	J	`jnl`	Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis. CoRR Yang Li, Meng-Ying Lei, Xianrui Zhang, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Hua-Liang Wei
2018	J	`jnl`	Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm. Neurocomputing Faraj A. A. Bashir, Hua-Liang Wei
2018	—	`conf`	Image Classification Using Generalized Multiscale RBF Networks and Discrete Cosine Transform. ICAC Carlos Beltran Perez, Hua-Liang Wei
2018	J	`jnl`	Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG. IEEE Access Yang Li, Meng-Ying Lei, Yuzhu Guo, Zhongyi Hu, Hua-Liang Wei
2018	J	`jnl`	Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. IEEE Trans. Neural Networks Learn. Syst. Yang Li, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Xiao-Feng Yang, Hua-Liang Wei
2017	J	`jnl`	A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking. Pattern Recognit. Azlyna Senawi, Hua-Liang Wei, Stephen A. Billings
2017	—	`conf`	BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation. ICINCO (Selected Papers) H. R. Sachin Prabhu, Hua-Liang Wei
2017	—	`conf`	Digital image classification and detection using a 2D-NARX model. ICAC Carlos Beltran Perez, Hua-Liang Wei
2017	A	`conf`	Improving K-means clustering performance using a new global time-series averaging method. ECAI Xinxin Yao, Hua-Liang Wei
2017	—	`conf`	Incremental modelling of transcriptional regulatory networks. GlobalSIP H. R. Sachin Prabhu, Hua-Liang Wei
2017	—	`conf`	Nonlinear dynamic predictive model selection and interference using information criteria. ICAC Yuanlin Gu, Hua-Liang Wei, Michael A. Balikhin
2017	A	`conf`	Prediction of Kp index using NARMAX models with a robust model structure selection method. ECAI Yuanlin Gu, Hua-Liang Wei, Richard J. Boynton, Simon N. Walker, Michael A. Balikhin
2017	—	`conf`	Preprocessing Graphs for Network Inference Applications. ICINCO (1) H. R. Sachin Prabhu, Hua-Liang Wei
2017	—	`conf`	Short-term stock price forecasting based on similar historical patterns extraction. ICAC Xinxin Yao, Hua-Liang Wei
2017	J	`jnl`	Stochastic Fractal Based Multiobjective Fruit Fly Optimization. Int. J. Appl. Math. Comput. Sci. Cili Zuo, Lianghong Wu, Zhao-Fu Zeng, Hua-Liang Wei
2016	—	`conf`	Analysis of the relationship between lifestyle and life satisfaction using transparent and nonlinear parametric models. ICAC Yuanlin Gu, Hua-Liang Wei
2016	—	`conf`	Handling Missing Data in Multivariate Time Series Using a Vector Autoregressive Model Based Imputation (VAR-IM) Algorithm. Part II: VAR-IM Algorithm Versus Modern Methods. CSE/EUC/DCABES Faraj A. A. Bashir, Hua-Liang Wei
2016	—	`conf`	Handling missing data in multivariate time series using a vector autoregressive model based imputation (VAR-IM) algorithm: Part I: VAR-IM algorithm versus traditional methods. MED Faraj A. A. Bashir, Hua-Liang Wei
2016	J	`jnl`	Identification of continuous-time models for nonlinear dynamic systems from discrete data. Int. J. Syst. Sci. Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei
2016	J	`jnl`	Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG. Int. J. Syst. Sci. Yang Li, Hua-Liang Wei, Stephen A. Billings, Ptolemaios G. Sarrigiannis
2016	—	`conf`	Off-line signature verification based on a new symbolic representation and dynamic time warping. ICAC Xinxin Yao, Hua-Liang Wei
2016	J	`jnl`	Privacy-Protected Facial Biometric Verification Using Fuzzy Forest Learning. IEEE Trans. Fuzzy Syst. Richard Jiang, Ahmed Bouridane, Danny Crookes, M. Emre Celebi, Hua-Liang Wei
2016	J	`jnl`	Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. Neurocomputing Yuzhu Guo, Lingzhong Guo, S. A. Billings, Hua-Liang Wei
2016	—	`conf`	Walking gestures recognition based on a novel symbolic representation. ICAC Xinxin Yao, Hua-Liang Wei
2015	J	`jnl`	An iterative orthogonal forward regression algorithm. Int. J. Syst. Sci. Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei
2015	J	`jnl`	Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models. Int. J. Syst. Sci. Fei He, Hua-Liang Wei, Stephen A. Billings
2015	J	`jnl`	Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. Int. J. Model. Identif. Control. Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei
2015	Misc	`conf`	Model selection to enhance prediction performance in the presence of missing data. MMAR Faraj A. A. Bashir, Hua-Liang Wei, Abdollha M. Benomair
2015	—	`conf`	Using Nonlinear Models to Enhance Prediction Performance with Incomplete Data. ICPRAM (1) Faraj A. A. Bashir, Hua-Liang Wei
2014	J	`jnl`	A Nonlinear Generalization of Spectral Granger Causality. IEEE Trans. Biomed. Eng. Fei He, Hua-Liang Wei, Stephen A. Billings, Ptolemaios G. Sarrigiannis
2013	J	`jnl`	A Parametric Method to Measure Time-Varying Linear and Nonlinear Causality With Applications to EEG Data. IEEE Trans. Biomed. Eng. Yifan Zhao, Stephen A. Billings, Hua-Liang Wei, Ptolemaios G. Sarrigiannis
2013	J	`jnl`	Model term selection for spatio-temporal system identification using mutual information. Int. J. Syst. Sci. Shu Wang, Hua-Liang Wei, Daniel Coca, Stephen A. Billings
2013	J	`jnl`	Spectral Analysis for Nonstationary and Nonlinear Systems: A Discrete-Time-Model-Based Approach. IEEE Trans. Biomed. Eng. Fei He, Stephen A. Billings, Hua-Liang Wei, Ptolemaios G. Sarrigiannis, Yifan Zhao
2012	J	`jnl`	A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm. IEEE Trans. Syst. Man Cybern. Part B Yifan Zhao, Hua-Liang Wei, S. A. Billings
2012	Misc	`conf`	System identification from small data sets using an output jittering method with application to model estimation of bioethanol production. ICMLC Jing Yang, Hua-Liang Wei, Visakan Kadirkamanathan, Xiaofang Lin
2012	—	`conf`	System identification of the fermentation system of Thermoanaerobacter sp. X514. ISB Jing Yang, Xiaofang Ling, Lishan Yao, Hua-Liang Wei, Visakan Kadirkamanathan
2011	J	`jnl`	ICNC-FSKD 2010 Special Issue on Computers & Mathematics in Natural Computation and Knowledge Discovery. Comput. Math. Appl. Shigang Yue, Hua-Liang Wei, Maozhen Li, Qilian Liang, Lipo Wang
2011	J	`jnl`	Identification of Time-Varying Systems Using Multi-Wavelet Basis Functions. IEEE Trans. Control. Syst. Technol. Yang Li, Hua-Liang Wei, Stephen A. Billings
2010	J	`jnl`	An adaptive wavelet neural network for spatio-temporal system identification. Neural Networks Hua-Liang Wei, Stephen A. Billings, Yifan Zhao, Lingzhong Guo
2010	Misc	`conf`	Preface. ICNC Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song
2010	Misc	`conf`	Preface. ICNC Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song
2010	Misc	`conf`	Preface. ICNC Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song
2010	J	`jnl`	Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multiwavelets. Int. J. Model. Identif. Control. Hua-Liang Wei, Stephen A. Billings, Julian J. Liu
2009	J	`jnl`	Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach. Int. J. Control Hua-Liang Wei, Stephen A. Billings
2009	J	`jnl`	Improved parameter estimates for non-linear dynamical models using a bootstrap method. Int. J. Control Hua-Liang Wei, Stephen A. Billings
2009	J	`jnl`	Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification. IEEE Trans. Neural Networks Hua-Liang Wei, S. A. Billings, Yifan Zhao, Lingzhong Guo
2009	J	`jnl`	Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach. IEEE Trans. Biomed. Eng. Hua-Liang Wei, Ying Zheng, Yi Pan, Daniel Coca, Liang-Min Li, John E. W. Mayhew, Stephen A. Billings
2008	J	`jnl`	An adaptive orthogonal search algorithm for model subset selection and non-linear system identification. Int. J. Control Stephen A. Billings, Hua-Liang Wei
2008	J	`jnl`	Constructing an overall dynamical model for a system with changing design parameter properties. Int. J. Model. Identif. Control. Hua-Liang Wei, Zi Qiang Lang, Stephen A. Billings
2008	J	`jnl`	Generalized Cellular Neural Networks (Gcnns) Constructed Using Particle Swarm Optimization for Spatio-Temporal Evolutionary Pattern Identification. Int. J. Bifurc. Chaos Hua-Liang Wei, Stephen A. Billings
2008	J	`jnl`	Model structure selection using an integrated forward orthogonal search algorithm assisted by squared correlation and mutual information. Int. J. Model. Identif. Control. Hua-Liang Wei, Stephen A. Billings
2007	J	`jnl`	A comparative study on global wavelet and polynomial models for non-linear regime-switching systems. Int. J. Model. Identif. Control. Hua-Liang Wei, Stephen A. Billings
2007	J	`jnl`	An Algorithm for Determining the Output Frequency Range of Volterra Models With Multiple Inputs. IEEE Trans. Circuits Syst. II Express Briefs Hua-Liang Wei, Zi Qiang Lang, Stephen A. Billings
2007	J	`jnl`	Feature Subset Selection and Ranking for Data Dimensionality Reduction. IEEE Trans. Pattern Anal. Mach. Intell. Hua-Liang Wei, Stephen A. Billings
2007	J	`jnl`	Generalized multiscale radial basis function networks. Neural Networks Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin
2007	J	`jnl`	Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information. IEEE Trans. Neural Networks Stephen A. Billings, Hua-Liang Wei
2006	J	`jnl`	Identification of coupled map lattice models for spatio-temporal patterns using wavelets. Int. J. Syst. Sci. Stephen A. Billings, Lingzhong Guo, Hua-Liang Wei
2006	J	`jnl`	Wavelet based non-parametric NARX models for nonlinear input-output system identification. Int. J. Syst. Sci. Hua-Liang Wei, Stephen A. Billings, Michael A. Balikhin
2005	J	`jnl`	A new class of wavelet networks for nonlinear system identification. IEEE Trans. Neural Networks Stephen A. Billings, Hua-Liang Wei
2005	J	`jnl`	The Wavelet-narmax Representation: a Hybrid Model Structure Combining Polynomial Models with Multiresolution Wavelet Decompositions. Int. J. Syst. Sci. Stephen A. Billings, Hua-Liang Wei
2004	J	`jnl`	Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions. Int. J. Syst. Sci. Hua-Liang Wei, Stephen A. Billings