Name
Abstract | ||
|---|---|---|
The present article demonstrates a way of formulating a neuro-fuzzy approach for feature extraction under unsupervised training. A fuzzy feature evaluation index for a set of features is newly defined in terms of degree of similarity between two patterns in both the original and transformed feature spaces. A concept of flexible membership function incorporating weighted distance is introduced for computing membership values in the transformed space that is obtained by a set of linear transformation on the original space. A layered network is designed for performing the task of minimization of the evaluation index through unsupervised learning process. This extracts a set of optimum transformed features, by projecting n-dimensional original space directly to n'-dimensional (n' n) transformed space, along with their relative importance. The extracted features are found to provide better classification performance than the original ones for different real life data with dimensions 3, 4, 9, 18 and 34. The superiority of the method over principal component analysis network, nonlinear discriminant analysis network and Kohonen self-organizing feature map is also established. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1016/S0165-0114(01)00070-7 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
layered network,feature extraction,nonlinear discriminant analysis network,kohonen self-organizing feature map,evaluation index,n-dimensional original space,neuro-fuzzy approach,unsupervised feature extraction,original space,principal component analysis network,feature space,fuzzy feature evaluation index,neuro fuzzy,membership function,indexation,principal component analysis,linear transformation,discriminant analysis,unsupervised learning | Feature vector,Neuro-fuzzy,Pattern recognition,Fuzzy logic,Feature extraction,Self-organizing map,Unsupervised learning,Artificial intelligence,Linear discriminant analysis,Membership function,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
126 | 3 | Fuzzy Sets and Systems |
Citations | PageRank | References |
4 | 0.78 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rajat K De | 1 | 352 | 40.44 |
| Jayanta Basak | 2 | 372 | 32.68 |
| Sankar K. Pal | 3 | 6410 | 627.31 |