Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Modeling and control of hierarchical systems with fuzzy systems
Automatica (Journal of IFAC)
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
A neuro fuzzy logic approach to material processing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Complex systems modeling via fuzzy logic
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A systematic neuro-fuzzy modeling framework with application tomaterial property prediction
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An online self-constructing neural fuzzy inference network and its applications
IEEE Transactions on Fuzzy Systems
Knowledge discovery by a neuro-fuzzy modeling framework
Fuzzy Sets and Systems
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This paper proposes a neuro-fuzzy approach to solve the problem of predicting the property of ashes originated from combustion processes for electric generation. The adopted approach uses fuzzy logic for modeling as well as neural networks for extraction and optimization of the fuzzy model via learning from data. A two-phase learning strategy is adopted to determine the structure and parameters of the predictive model on the basis of experimental data derived from observation of different combustion processes. Preliminary results on the application of the proposed neuro-fuzzy approach are also reported.