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
A recurrent neural filter for adaptive noise cancellation
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Computers in Biology and Medicine
Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
Fuzzy Sets and Systems
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
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
Nonlinear Systems Identification via Two Types of Recurrent Fuzzy CMAC
Neural Processing Letters
A fuzzy-neural multi-model for nonlinear systems identification and control
Fuzzy Sets and Systems
Recurrent Fuzzy CMAC for Nonlinear System Modeling
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Model-Based Fault Detection and Isolation Using Locally Recurrent Neural Networks
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Dynamic programming prediction errors of recurrent neural fuzzy networks for speech recognition
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
A combined observer and filter based approach for the determination of unknown parameters
International Journal of Systems Science
Non-linear dynamic system identification using Cascaded Functional Link Artificial Neural Network
International Journal of Artificial Intelligence and Soft Computing
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
A recurrent fuzzy filter for the analysis of lung sounds
Fuzzy Sets and Systems
Control and Intelligent Systems
Multi groups cooperation based symbiotic evolution for TSK-type neuro-fuzzy systems design
Expert Systems with Applications: An International Journal
Enhanced neural filter design and its application to the active control of nonlinear noise
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent 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
Qualitative modeling of dynamical systems employing continuous-time recurrent fuzzy systems
Fuzzy Sets and Systems
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
Telecommunications data forecasting based on a dynamic neuro-fuzzy network
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Engineering Applications of Artificial Intelligence
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
A multi-model approach for long-term runoff modeling using rainfall forecasts
Expert Systems with Applications: An International Journal
Recurrent wavelet-based neuro fuzzy networks for dynamic system identification
Mathematical and Computer Modelling: An International Journal
A self-constructing compensatory neural fuzzy system and its applications
Mathematical and Computer Modelling: An International Journal
Modeling with discrete-time recurrent fuzzy systems via mixed-integer optimization
Fuzzy Sets and Systems
A context layered locally recurrent neural network for dynamic system identification
Engineering Applications of Artificial Intelligence
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.01 |
This paper presents a fuzzy modeling approach for identification of dynamic systems. In particular, a new fuzzy model, the Dynamic Fuzzy Neural Network (DFNN), consisting of recurrent TSK rules, is developed. The premise and defuzzification parts are static while the consequent parts of the fuzzy rules are recurrent neural networks with internal feedback and time delay synapses. The network is trained by means of a novel learning algorithm, named Dynamic-Fuzzy Neural Constrained Optimization Method (D-FUNCOM), based on the concept of constrained optimization. The proposed algorithm is general since it can be applied to locally as well as fully recurrent networks, regardless of their structures. An adaptation mechanism of the maximum parameter change is presented as well. The proposed dynamic model, equipped with the learning algorithm, is applied to several temporal problems, including modeling of a NARMA process and the noise cancellation problem. Performance comparisons are conducted with a series of static and dynamic systems and some existing recurrent fuzzy models. Simulation results show that DFNN compares favorably with its competing rivals and thus it can be considered for efficient system identification