4.8 Article

Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression

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。
Article Automation & Control Systems

Continuous Support Vector Regression for Nonstationary Streaming Data

Hang Yu et al.

Summary: This paper introduces Continuous Support Vector Regression (C-SVR) for addressing nonstationary streaming data regression problems. C-SVR continuously learns input-output functions over a series of time windows and connects them through an additional similarity term in order to achieve better performance in handling concept drift.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

Article Computer Science, Artificial Intelligence

An Online Robust Support Vector Regression for Data Streams

Hang Yu et al.

Summary: Support vector regression (SVR) is a flexible regression algorithm but cannot be used with data streams. To address this issue, an online robust support vector regression (ORSVR) algorithm is proposed, which efficiently handles regression problems in data streams.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

Article Computer Science, Artificial Intelligence

Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations

Anjin Liu et al.

Summary: The concept drift detection algorithm proposed in this article shows significant advantages in handling missing values. The MDL-FWF method can greatly reduce the average drift detection difference, providing more reliable results for drift detection.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks

Feng Liu et al.

Summary: This article introduces a shared-fuzzy-equivalence-relation neural network (SFERNN) for addressing the multisource heterogeneous UDA problem, which optimizes parameters by minimizing cross-entropy loss and distributional discrepancy between source and target domains. Experimental results demonstrate that SFERNN outperforms existing single-source heterogeneous UDA methods on multiple real-world datasets.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Article Automation & Control Systems

Particle Swarm Optimized Autonomous Learning Fuzzy System

Xiaowei Gu et al.

Summary: This article introduces a particle swarm-based approach to optimize the performance of a first-order evolving intelligent system, which can simultaneously optimize the antecedent and consequent parameters of the system to enhance system performance without adversely affecting its one pass learning ability.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Computer Science, Artificial Intelligence

Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams

Yiliao Song et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

ADONiS-Adaptive Online Nonsingleton Fuzzy Logic Systems

Direnc Pekaslan et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network

Hang Yu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Data-driven decision support under concept drift in streamed big data

Jie Lu et al.

COMPLEX & INTELLIGENT SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Fuzzy Multiple-Source Transfer Learning

Jie Lu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Information Systems

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey

Igor Skrjanc et al.

INFORMATION SCIENCES (2019)

Article Computer Science, Artificial Intelligence

PALM: An Incremental Construction of Hyperplanes for Data Stream Regression

Md Meftahul Ferdaus et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Article Computer Science, Information Systems

Local optimality of self-organising neuro-fuzzy inference systems

Xiaowei Gu et al.

INFORMATION SCIENCES (2019)

Review Computer Science, Artificial Intelligence

Learning under Concept Drift: A Review

Jie Lu et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Incremental Rule Splitting in Generalized Evolving Fuzzy Systems for Autonomous Drift Compensation

Edwin Lughofer et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Tree-based methods for online multi-target regression

Aljaz Osojnik et al.

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Correntropy-Based Evolving Fuzzy Neural System

Rong-Jing Bao et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Structural property-aware multilayer network embedding for latent factor analysis

Jie Lu et al.

PATTERN RECOGNITION (2018)

Article Computer Science, Artificial Intelligence

An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks

Mahardhika Pratama et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)

Article Automation & Control Systems

Circuit Implementation of Data-Driven TSK-Type Interval Type-2 Neural Fuzzy System With Online Parameter Tuning Ability

Chia-Feng Juang et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2017)

Article Computer Science, Interdisciplinary Applications

Tracking concept drift using a constrained penalized regression combiner

Li-Yu Wang et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2017)

Article Computer Science, Information Systems

Adaptive Model Rules From High-Speed Data Streams

Joao Duarte et al.

ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (2016)

Article Computer Science, Artificial Intelligence

Generalized smart evolving fuzzy systems

Edwin Lughofer et al.

EVOLVING SYSTEMS (2015)

Article Computer Science, Theory & Methods

A Survey on Concept Drift Adaptation

Joao Gama et al.

ACM COMPUTING SURVEYS (2014)

Article Computer Science, Artificial Intelligence

A Fuzzy Model With Online Incremental SVM and Margin-Selective Gradient Descent Learning for Classification Problems

Wei-Yuan Cheng et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2014)

Article Computer Science, Artificial Intelligence

Topology-oriented self-organizing maps: a survey

Cesar A. Astudillo et al.

PATTERN ANALYSIS AND APPLICATIONS (2014)

Article Computer Science, Artificial Intelligence

PANFIS: A Novel Incremental Learning Machine

Mahardhika Pratama et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2014)

Article Computer Science, Artificial Intelligence

A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models

Wanqing Zhao et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2013)

Article Computer Science, Artificial Intelligence

IBLStreams: a system for instance-based classification and regression on data streams

Ammar Shaker et al.

EVOLVING SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

Handling drifts and shifts in on-line data streams with evolving fuzzy systems

E. Lughofer et al.

APPLIED SOFT COMPUTING (2011)

Article Computer Science, Artificial Intelligence

Learning model trees from evolving data streams

Elena Ikonomovska et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2011)

Article Computer Science, Artificial Intelligence

Speedup of Implementing Fuzzy Neural Networks With High-Dimensional Inputs Through Parallel Processing on Graphic Processing Units

Chia-Feng Juang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2011)

Article Computer Science, Artificial Intelligence

A Self-Evolving Interval Type-2 Fuzzy Neural Network With Online Structure and Parameter Learning

Chia-Feng Juang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2008)

Article Computer Science, Artificial Intelligence

FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi-Sugeno Fuzzy Models

Edwin David Lughofer

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2008)

Article Computer Science, Artificial Intelligence

Evolving Fuzzy-Rule-Based Classifiers From Data Streams

Plamen P. Angelov et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2008)

Article Computer Science, Artificial Intelligence

An enhanced self-organizing incremental neural network for online unsupervised learning

Shen Furao et al.

NEURAL NETWORKS (2007)

Article Computer Science, Theory & Methods

Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction

HJ Rong et al.

FUZZY SETS AND SYSTEMS (2006)

Article Computer Science, Artificial Intelligence

An incremental network for on-line unsupervised classification and topology learning

FR Shen et al.

NEURAL NETWORKS (2006)

Article Computer Science, Theory & Methods

An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network

G Leng et al.

FUZZY SETS AND SYSTEMS (2005)

Article Computer Science, Artificial Intelligence

Identification of evolving fuzzy rule-based models

P Angelov et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2002)

Article Computer Science, Artificial Intelligence

DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction

NK Kasabov et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2002)

Article Automation & Control Systems

Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning

N Kasabov

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2001)