Feature analysis: Neural network and fuzzy set theoretic approaches
โ Scribed by Rajat K De; Nikhil R Pal; Sankar K Pal
- Book ID
- 108363681
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 945 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A new model for generalized fuzzy inference neural networks (GFINN) is proposed in this paper. The networks consist of three layers: an input-output layer, an if layer, and a then layer. In each layer, there are the operational nodes. A GFINN can perform three representative fuzzy inference methods
Feature analysis and feature selection are fundamental pursuits in pattern recognition. We revisit and generalize an issue of feature selection by introducing a mechanism of soft (fuzzy) feature selection. The underlying idea is to consider features to be granular rather than numeric. By varying the