Online adaptive fuzzy neural identification and control of nonlinear dynamic systems
Autonomous robotic systems
An improved algorithm for online identification of evolving TS fuzzy models
FS'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Fuzzy Systems - Volume 8
A nonlinear transversal fuzzy filter with online clustering
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
An online self-improved fuzzy filter and its applications
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Generalized Dynamic Fuzzy Neural Network-Based Tracking Control of Robot Manipulators
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
An online Bayesian Ying-Yang learning applied to fuzzy CMAC
Neurocomputing
A fuzzy-knowledge resource-allocation model of the semiconductor final test industry
Robotics and Computer-Integrated Manufacturing
Travel Speed Prediction Using Fuzzy Reasoning
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
Dynamic structure adaptive neural fuzzy control for MIMO uncertain nonlinear systems
Information Sciences: an International Journal
Quadratic optimal neural fuzzy control for synchronization of uncertain chaotic systems
Expert Systems with Applications: An International Journal
An Online Self-constructing Fuzzy Neural Network with Restrictive Growth
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Incremental local linear fuzzy classifier in fisher space
EURASIP Journal on Advances in Signal Processing
A novel pruning algorithm for self-organizing neural network
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Fault detection and fuzzy rule extraction in AC motors by a neuro-fuzzy ART-based system
Engineering Applications of Artificial Intelligence
A fast and compact fuzzy neural network for online extraction of fuzzy rules
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
SOFMLS: online self-organizing fuzzy modified least-squares network
IEEE Transactions on Fuzzy Systems
Multiple incremental fuzzy neuro-adaptive control of robot manipulators
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Non-uniform self-selective coder for fuzzy rules and its application
Expert Systems with Applications: An International Journal
Fuzzy decision tree function approximation in reinforcement learning
International Journal of Artificial Intelligence and Soft Computing
An evolving-onstruction scheme for fuzzy systems
IEEE Transactions on Fuzzy Systems
Fault diagnosis of an air-handling unit system using a dynamic fuzzy-neural approach
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
Applied Soft Computing
A self-organizing fuzzy neural network based on a growing-and-pruning algorithm
IEEE Transactions on Fuzzy Systems
A hybrid self-learning approach for generating fuzzy inference systems
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
A generalized online self-constructing fuzzy neural network
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Fuzzy transforms method in prediction data analysis
Fuzzy Sets and Systems
A Generalized Ellipsoidal Basis Function Based Online Self-constructing Fuzzy Neural Network
Neural Processing Letters
Automatic fuzzy rule extraction based on fuzzy neural network
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Neural networks for mobile robot navigation: a survey
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
A TSK fuzzy inference algorithm for online identification
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
A hybrid neuro-fuzzy approach for spinal force evaluation in manual materials handling tasks
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system
Applied Soft Computing
Information Sciences: an International Journal
eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System
Information Sciences: an International Journal
Modeling data uncertainty on electric load forecasting based on Type-2 fuzzy logic set theory
Engineering Applications of Artificial Intelligence
Intelligent prescription-diagnosis function for rehabilitation training robot system
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part II
D-FNN based soft-sensor modeling and migration reconfiguration of polymerizing process
Applied Soft Computing
An improved learning scheme for extracting t-s fuzzy rules from data samples
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
An adaptive neural control scheme for articulatory synthesis of CV sequences
Computer Speech and Language
Fuzzy Control of a Helio-Crane
Journal of Intelligent and Robotic Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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A fast approach for automatically generating fuzzy rules from sample patterns using generalized dynamic fuzzy neural networks (GD-FNNs) is presented. The GD-FNN is built based on ellipsoidal basis functions and functionally is equivalent to a Takagi-Sugeno-Kang fuzzy system. The salient characteristics of the GD-FNN are: (1) structure identification and parameters estimation are performed automatically and simultaneously without partitioning input space and selecting initial parameters a priori; (2) fuzzy rules can be recruited or deleted dynamically; (3) fuzzy rules can be generated quickly without resorting to the backpropagation (BP) iteration learning, a common approach adopted by many existing methods. The GD-FNN is employed in a wide range of applications ranging from static function approximation and nonlinear system identification to time-varying drug delivery system and multilink robot control. Simulation results demonstrate that a compact and high-performance fuzzy rule-base can be constructed. Comprehensive comparisons with other latest approaches show that the proposed approach is superior in terms of learning efficiency and performance