相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Fusion of progressive granular neural networks for pattern classification
D. Arun Kumar et al.
SOFT COMPUTING (2019)
Clustering Homogeneous Granular Data: Formation and Evaluation
Yinghua Shen et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection
Anhui Tan et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)
Evolving Ensemble Fuzzy Classifier
Mahardhika Pratama et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
Hidden Markov Models Based Approaches to Long-Term Prediction for Granular Time Series
Hongyue Guo et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
A Design of Granular Takagi-Sugeno Fuzzy Model Through the Synergy of Fuzzy Subspace Clustering and Optimal Allocation of Information Granularity
Xiubin Zhu et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
Multi-objective optimization for modular granular neural networks applied to pattern recognition
Patricia Melin et al.
INFORMATION SCIENCES (2018)
A New Approach for Time Series Prediction Using Ensembles of IT2FNN Models with Optimization of Fuzzy Integrators
Jesus Soto et al.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2018)
An Incremental Type-2 Meta-Cognitive Extreme Learning Machine
Mahardhika Pratama et al.
IEEE TRANSACTIONS ON CYBERNETICS (2017)
Optimization of modular granular neural networks using a firefly algorithm for human recognition
Daniela Sanchez et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks
Mahardhika Pratama et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)
A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition
Daniela Sanchez et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2017)
Evolving Type-2 Fuzzy Classifier
Mahardhika Pratama et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2016)
Optimal Granule-Based PIs Construction for Solar Irradiance Forecast
Songjian Chai et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2016)
A generalized type-2 fuzzy granular approach with applications to aerospace
Oscar Castillo et al.
INFORMATION SCIENCES (2016)
A study of granular computing in the agenda of growth of artificial neural networks
Mingli Song et al.
GRANULAR COMPUTING (2016)
Evolving granular analytics for interval time series forecasting
Leandro Maciel et al.
GRANULAR COMPUTING (2016)
GSETSK: a generic self-evolving TSK fuzzy neural network with a novel Hebbian-based rule reduction approach
Ngoc Nam Nguyen et al.
APPLIED SOFT COMPUTING (2015)
pClass: An Effective Classifier for Streaming Examples
Mahardhika Pratama et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)
Data-Informed Fuzzy Measures for Fuzzy Integration of Intervals and Fuzzy Numbers
Timothy C. Havens et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)
Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems
Daniel Leite et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)
From Interval-Valued Data to General Type-2 Fuzzy Sets
Christian Wagner et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)
Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm
Mahardhika Pratama et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2015)
Optimization of modular granular neural networks using a hierarchical genetic algorithm based on the database complexity applied to human recognition
Daniela Sanchez et al.
INFORMATION SCIENCES (2015)
Optimization of modular granular neural networks using hierarchical genetic algorithms for human recognition using the ear biometric measure
Daniela Sanchez et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2014)
GENEFIS: Toward an Effective Localist Network
Mahardhika Pratama et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2014)
Genetic interval neural networks for granular data regression
Mario G. C. A. Cimino et al.
INFORMATION SCIENCES (2014)
Fuzzy granular gravitational clustering algorithm for multivariate data
Mauricio A. Sanchez et al.
INFORMATION SCIENCES (2014)
On-line assurance of interpretability criteria in evolving fuzzy systems - Achievements, new concepts and open issues
Edwin Lughofer
INFORMATION SCIENCES (2013)
Fuzzy Passive-Aggressive classification: A robust and efficient algorithm for online classification problems
Lei Wang et al.
INFORMATION SCIENCES (2013)
Granular Neural Networks: Concepts and Development Schemes
Mingli Song et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2013)
Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble
Chunyang Sheng et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2013)
Genetic optimization of modular neural networks with fuzzy response integration for human recognition
Patricia Melin et al.
INFORMATION SCIENCES (2012)
Evolving fuzzy granular modeling from nonstationary fuzzy data streams
Daniel Leite et al.
EVOLVING SYSTEMS (2012)
Prediction Interval Construction and Optimization for Adaptive Neurofuzzy Inference Systems
Abbas Khosravi et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2011)
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
Abbas Khosravi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams
Plamen Angelov
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2011)
Fuzzy rough granular neural networks, fuzzy granules, and classification
Avatharam Ganivada et al.
THEORETICAL COMPUTER SCIENCE (2011)
Type 2 Fuzzy Neural Structure for Identification and Control of Time-Varying Plants
Rahib Hidayat Abiyev et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2010)
A Recurrent Self-Evolving Interval Type-2 Fuzzy Neural Network for Dynamic System Processing
Chia-Feng Juang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)
Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields
Ho-Sung Park et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2009)
Granular neural networks with evolutionary interval learning
Yan-Qing Zhang et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2008)
Toward a theory of granular computing for human-centered information processing
Andrzej Bargiela et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2008)
FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi-Sugeno Fuzzy Models
Edwin David Lughofer
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2008)
Granular neural networks for land use classification
A Vasilakos et al.
SOFT COMPUTING (2005)
An approach to Online identification of Takagi-Suigeno fuzzy models
PP Angelov et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)
Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory
O Castillo et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)
Comparison of fuzzy numbers using a fuzzy distance measure
L Tran et al.
FUZZY SETS AND SYSTEMS (2002)
Granular neural networks
W Pedrycz et al.
NEUROCOMPUTING (2001)
分享论文
