Evolution of Voronoi based fuzzy recurrent controllers
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
State-Space Recurrent Fuzzy Neural Networks for Nonlinear System Identification
Neural Processing Letters
An adaptive recurrent fuzzy system for nonlinear identification
Applied Soft Computing
A new recurrent neurofuzzy network for identification of dynamic systems
Fuzzy Sets and Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
A symbiotic genetic algorithm with local-and-global mapping search for reinforcement fuzzy control
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Supervised and Reinforcement Evolutionary Learning for Wavelet-based Neuro-fuzzy Networks
Journal of Intelligent and Robotic Systems
Nonlinear Systems Identification via Two Types of Recurrent Fuzzy CMAC
Neural Processing Letters
Expert Systems with Applications: An International Journal
Zero-order TSK-type fuzzy system learning using a two-phase swarm intelligence algorithm
Fuzzy Sets and Systems
Adaptive Nonlinear Control Using TSK-Type Recurrent Fuzzy Neural Network System
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Recurrent Fuzzy CMAC for Nonlinear System Modeling
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
TS-Neural-Network-Based Maintenance Decision Model for Diesel Engine
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Design of T-S Fuzzy Model Based on PSODE Algorithm
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
A Fuzzy Neural-Network-Driven Weighting System for Electric Shovel
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
A new pseudo-Gaussian-based recurrent fuzzy CMAC model for dynamic systems processing
International Journal of Systems Science
Brief paper: A pipelined recurrent fuzzy model for real-time analysis of lung sounds
Engineering Applications of Artificial Intelligence
Dynamic programming prediction errors of recurrent neural fuzzy networks for speech recognition
Expert Systems with Applications: An International Journal
A self-generating fuzzy system with ant and particle swarm cooperative optimization
Expert Systems with Applications: An International Journal
Recurrent neuro fuzzy control design for tracking of mobile robots via hybrid algorithm
Expert Systems with Applications: An International Journal
Non-linear dynamic system identification using Cascaded Functional Link Artificial Neural Network
International Journal of Artificial Intelligence and Soft Computing
Realization of XOR by SIRMs Connected Fuzzy Inference Method
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Identification of a class of nonlinear systems by a continuous-time recurrent neurofuzzy network
ACC'09 Proceedings of the 2009 conference on American Control Conference
Identification and control of time-varying plants using type-2 fuzzy neural system
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A recurrent fuzzy filter for the analysis of lung sounds
Fuzzy Sets and Systems
A recurrent self-evolving interval type-2 fuzzy neural network for dynamic system processing
IEEE Transactions on Fuzzy Systems
SOFMLS: online self-organizing fuzzy modified least-squares network
IEEE Transactions on Fuzzy Systems
Hierarchical cluster-based multispecies particle-swarm optimization for fuzzy-system optimization
IEEE Transactions on Fuzzy Systems
Designing fuzzy-rule-based systems using continuous ant-colony optimization
IEEE Transactions on Fuzzy Systems
Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network
IEEE Transactions on Neural Networks
A locally recurrent fuzzy neural network with support vector regression for dynamic-system modeling
IEEE Transactions on Fuzzy Systems
A maximizing-discriminability-based self-organizing fuzzy network for classification problems
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Fuzzy wavelet neural network models for prediction and identification of dynamical systems
IEEE Transactions on Neural Networks
Recurrent fuzzy system design using elite-guided continuous ant colony optimization
Applied Soft Computing
A recurrent neuro-fuzzy system and its application in inferential sensing
Applied Soft Computing
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
A new recurrent neurofuzzy network for identification of dynamic systems
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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
Engineering Applications of Artificial Intelligence
Nonlinear function approximation using fuzzy functional SIRMs inference model
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Recurrent wavelet-based neuro fuzzy networks for dynamic system identification
Mathematical and Computer Modelling: An International Journal
Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization
Fuzzy Sets and Systems
Training ANFIS parameters with a quantum-behaved particle swarm optimization algorithm
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification
Information Sciences: an International Journal
A context layered locally recurrent neural network for dynamic system identification
Engineering Applications of Artificial Intelligence
SIRMs connected fuzzy inference method adopting emphasis and suppression
Fuzzy Sets and Systems
D-FNN based soft-sensor modeling and migration reconfiguration of polymerizing process
Applied Soft Computing
Differential evolution with local information for neuro-fuzzy systems optimisation
Knowledge-Based Systems
International Journal of Intelligent Information and Database Systems
International Journal of Intelligent Information and Database Systems
International Journal of Hybrid Intelligent Systems
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In this paper, a TSK-type recurrent fuzzy network (TRFN) structure is proposed. The proposal calls for the design of TRFN by either neural network or genetic algorithms depending on the learning environment. A recurrent fuzzy network is described which develops from a series of recurrent fuzzy if-then rules with TSK-type consequent parts. The recurrent property comes from feeding the internal variables, derived from fuzzy firing strengths, back to both the network input and output layers. In this configuration, each internal variable is responsible for memorizing the temporal history of its corresponding fuzzy rule. The internal variable is also combined with external input variables in each rule's consequence, which shows an increase in network learning ability. TRFN design under different learning environments is next advanced. For problems where supervised training data is directly available, TRFN with supervised learning (TRFN-S) is proposed, and a neural network (NN) learning approach is adopted for TRFN-S design. An online learning algorithm with concurrent structure and parameter learning is proposed. With flexibility of partition in the precondition part, and outcome of TSK-type, the TRFN-S displays both small network size and high learning accuracy. For problems where gradient information for NN learning is costly to obtain or unavailable, like reinforcement learning, TRFN with Genetic learning (TRFN-G) is put forward. The precondition parts of TRFN-G are also partitioned in a flexible way, and all free parameters are designed concurrently by genetic algorithm. Owing to the well-designed network structure of TRFN, TRFN-G, like TRFN-S, is characterized by high learning accuracy. To demonstrate the superior properties of TRFN, TRFN-S is applied to dynamic system identification and TRFN-G to dynamic system control. By comparing the results to other types of recurrent networks and design configurations, the efficiency of TRFN is verified