Fuzzy Weighted Least Squares Support Vector Regression with Data Reduction for Nonlinear System Modeling

Networked fuzzy output feedback control for discrete-time Takagi–Sugeno fuzzy systems with sensor saturation and measurement noise

(2018) Dawei Zhang et al.   INFORMATION SCIENCES

Background estimation by weightless neural networks

(2017) Massimo De Gregorio et al.   PATTERN RECOGNITION LETTERS

Hardware/Software Partitioning for Heterogenous MPSoC Considering Communication Overhead

(2016) Aijia Ouyang et al.   INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING

An Efficient Hybrid Algorithm Based on HS and SFLA

(2016) Aijia Ouyang et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

A novel cost function based on decomposing least-square support vector machine for Takagi–Sugeno fuzzy system identification

(2014) Xiaoyong Liu et al.   IET Control Theory and Applications

Least-Squares Support Vector Machines for the identification of Wiener–Hammerstein systems

(2012) Tillmann Falck et al.   CONTROL ENGINEERING PRACTICE

Iterated time series prediction with multiple support vector regression models

(2012) Li Zhang et al.   NEUROCOMPUTING

Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction

(2012) A. Miranian et al.   IEEE Transactions on Neural Networks and Learning Systems

Grey relational grade in local support vector regression for financial time series prediction

(2011) Hui Jiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault diagnosis of power transformers using multi-class least square support vector machines classifiers with particle swarm optimisation

(2011) H.B. Zheng et al.   IET Electric Power Applications

Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression

(2010) Kris De Brabanter et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Electric Load Forecasting Based on Locally Weighted Support Vector Regression

(2010) Ehab E Elattar et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

A general learning framework using local and global regularization

(2010) Fei Wang   PATTERN RECOGNITION

Weighted least squares support vector machine local region method for nonlinear time series prediction

(2009) Tingwei Quan et al.   APPLIED SOFT COMPUTING

Recursive subspace identification of Hammerstein models based on least squares support vector machines

(2009) L. Bako et al.   IET Control Theory and Applications

Localized support vector regression for time series prediction

(2008) Haiqin Yang et al.   NEUROCOMPUTING