Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Neural network implementation of fuzzy logic
Fuzzy Sets and Systems
Integrated feature analysis and fuzzy rule-based systemidentification in a neuro-fuzzy paradigm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Artificial neural networks for feature extraction and multivariate data projection
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
Most methods of classification either ignore feature analysis or do it in a separate phase, offline prior to the main classification task. This paper proposes a novel neuro-fuzzy scheme for classification with online feature selection. It is a four-layered feed-forward network for fuzzy rule based classification. The network learns the classification rules from the training data as well selects the important features. The rules learned by the network can be easily read from the network. The system is tested on both synthetic and real data and found to perform quite well.