Related references
Note: Only part of the references are listed.T-S fuzzy-based sliding mode controller design for discrete-time nonlinear model and its applications
Ramasamy Subramaniam et al.
INFORMATION SCIENCES (2020)
Boosting evolutionary optimization via fuzzy-classification-assisted selection
Jinyuan Zhang et al.
INFORMATION SCIENCES (2020)
Fuzzy rule-based models with randomized development mechanisms
Xingchen Hu et al.
FUZZY SETS AND SYSTEMS (2019)
Single index fuzzy neural networks using locally weighted polynomial regression
Jer-Guang Hsieh et al.
FUZZY SETS AND SYSTEMS (2019)
On the influence of using fuzzy extensions in linguistic fuzzy rule-based regression systems
Fatemeh Aghaeipoor et al.
APPLIED SOFT COMPUTING (2019)
MOKBL plus MOMs: An interpretable multi-objective evolutionary fuzzy system for learning high-dimensional regression data
Fatemeh Aghaeipoor et al.
INFORMATION SCIENCES (2019)
Design of double fuzzy clustering-driven context neural networks
Eun-Hu Kim et al.
NEURAL NETWORKS (2018)
Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons
Wei Huang et al.
APPLIED INTELLIGENCE (2017)
DECO3RUM: A Differential Evolution learning approach for generating compact Mamdani fuzzy rule-based models
Nikolaos L. Tsakiridis et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design
Wei Huang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)
Reinforced rule-based fuzzy models: Design and analysis
Eun-Hu Kim et al.
KNOWLEDGE-BASED SYSTEMS (2017)
Multi-layer architecture for adaptive fuzzy inference system with a large number of input features
Mohammad Saber Iraji
COGNITIVE SYSTEMS RESEARCH (2017)
FRULER: Fuzzy Rule Learning through Evolution for Regression
I. Rodriguez-Fdez et al.
INFORMATION SCIENCES (2016)
Regression and classification using extreme learning machine based on L1-norm and L2-norm
Xiong Luo et al.
NEUROCOMPUTING (2016)
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets
Yan-Lin He et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)
A probabilistic learning algorithm for robust modeling using neural networks with random weights
Feilong Cao et al.
INFORMATION SCIENCES (2015)
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges
Alberto Fernandez et al.
KNOWLEDGE-BASED SYSTEMS (2015)
METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems
M. J. Gacto et al.
INFORMATION SCIENCES (2014)
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs)
Wei Huang et al.
NEURAL NETWORKS (2014)
Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty
Qinwei Fan et al.
NEUROCOMPUTING (2014)
An evolutionary-based hyper-heuristic approach for optimal construction of group method of data handling networks
J. Gascon-Moreno et al.
INFORMATION SCIENCES (2013)
A new approach to radial basis function-based polynomial neural networks: analysis and design
Sung-Kwun Oh et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2013)
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks
Sung-Kwun Oh et al.
NEUROCOMPUTING (2013)
Fuzzy linear regression based on Polynomial Neural Networks
Seok-Beom Roh et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems
Rafael Alcala et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2011)
Fuzzy Wavelet Neural Network Models for Prediction and Identification of Dynamical Systems
Sevcan Yilmaz et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2010)
A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering
Seok-Beom Roh et al.
KNOWLEDGE-BASED SYSTEMS (2010)
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems
Rafael Alcala et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)
A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme
Byoung-Jun Park et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)
Fuzzy relation-based neural networks and their hybrid identification
Sung-Kwun Oh et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2007)
Genetic optimization of fuzzy polynomial neural networks
Seok-Beom Roh et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2007)
Boosting of granular models
Witold Pedrycz et al.
FUZZY SETS AND SYSTEMS (2006)
A new approach to the development of genetically optimized multilayer fuzzy polynomial neural networks
Sung-Kwun Oh et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2006)
Linguistic models as a framework of user-centric system modeling
Witold Pedrycz et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS (2006)
The design of self-organizing Polynomial Neural Networks
SK Oh et al.
INFORMATION SCIENCES (2002)
Share Paper
