Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Neural networks and the bias/variance dilemma
Neural Computation
Neural networks in designing fuzzy systems for real world applications
Fuzzy Sets and Systems
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Modeling and control of hierarchical systems with fuzzy systems
Automatica (Journal of IFAC)
Data mining methods for knowledge discovery
Data mining methods for knowledge discovery
NEFCLASSmdash;a neuro-fuzzy approach for the classification of data
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Knowledge-based neurocomputing
Knowledge-based neurocomputing
A new approach of neuro-fuzzy learning algorithm for tuning fuzzy rules
Fuzzy Sets and Systems
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Machine Learning
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Neuro Fuzzy Systems: Sate-of-the-Art Modeling Techniques
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
A neuro-fuzzy system for ash property prediction
Second international workshop on Intelligent systems design and application
Nonlinear system modeling by competitive learning and adaptivefuzzy inference system
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A neuro fuzzy logic approach to material processing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Robust stability constraints for fuzzy model predictive control
IEEE Transactions on Fuzzy Systems
Rule-base structure identification in an adaptive-network-based fuzzy inference system
IEEE Transactions on Fuzzy Systems
A fuzzy-logic-based approach to qualitative modeling
IEEE Transactions on Fuzzy Systems
A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems
IEEE Transactions on Neural Networks
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
IEEE Transactions on Neural Networks
Interpretation of clusters in the framework of shadowed sets
Pattern Recognition Letters
Comparison of different strategies of utilizing fuzzy clustering in structure identification
Information Sciences: an International Journal
Document page segmentation using neuro-fuzzy approach
Applied Soft Computing
Intelligent agent-supported knowledge management
International Journal of Computer Applications in Technology
Mindful: A framework for Meta-INDuctive neuro-FUzzy Learning
Information Sciences: an International Journal
Computational Intelligence techniques for Web personalization
Web Intelligence and Agent Systems
A Framework for Designing a Fuzzy Rule-Based Classifier
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
NEWER: A system for NEuro-fuzzy WEb Recommendation
Applied Soft Computing
Complexity analysis of the biomedical signal using fuzzy entropy measurement
Applied Soft Computing
Comparison of different input selection algorithms in neuro-fuzzy modeling
Expert Systems with Applications: An International Journal
Meta-learning experiences with the mindful system
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Texture segmentation with local fuzzy patterns and neuro-fuzzy decision support
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Granular computing with shadowed sets
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Exploring the way for meta-learning with the MINDFUL system
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Knowledge discovery by an intelligent approach using complex fuzzy sets
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Data and feature reduction in fuzzy modeling through particle swarm optimization
Applied Computational Intelligence and Soft Computing
Hi-index | 0.21 |
In this paper a neuro-fuzzy modeling framework is proposed, which is devoted to discover knowledge from data and represent it in the form of fuzzy rules. The core of the framework is a knowledge extraction procedure that is aimed to identify the structure and the parameters of a fuzzy rule base, through a two-phase learning of a neuro-fuzzy network. In order to obtain reliable and readable knowledge, two further stages are integrated with the knowledge extraction procedure: a pre-processing stage, performing variable selection on the available data to obtain simpler and more reliable fuzzy rules, and a post-processing stage, that granulates outputs of the extracted fuzzy rules so as to provide a validity range of estimated outputs. Moreover, the framework can address complex multi-input multi-output problems. In such case, two distinct modeling strategies can be followed with the opportunity of producing both a single MIMO model or a collection of MISO models. The proposed framework is verified on a real-world case study, involving prediction of chemical composition of ashes produced by combustion processes carried out in thermo-electric generators located in Italy.