Loo, C.K. and Rao, M.V.C. (2005) Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP. IEEE Transactions on Knowledge and Data Engineering , 17 (11). pp. 1589-1593. ISSN 1041-4347,
Full text not available from this repository.Abstract
In this paper, an accurate and effective probabilistic plurality voting method to combine outputs from multiple simplified fuzzy ARTMAP (SFAM) classifiers is presented. Five ELENA benchmark problems and five medical benchmark data sets have been used to evaluate the applicability and performance of the proposed probabilistic ensemble simplified fuzzy ARTMAP (PESFAM) network. Among the five benchmark problems in ELENA project, PESFAM outperforms the SFAM and multi-layer perceptron (MLP) classifier. In addition, the effectiveness of the proposed PESFAM is delineated in medical diagnosis applications. For the medical diagnosis and classification problems, PESFAM achieves 100 percent in accuracy, specificity, and sensitivity based on the 10-fold crossvalidation and these results are superior to those from other classification algorithms. In addition, a posteri probability of the predicted class can be used to measure the prediction reliability of PESFAM. The experiments demonstrate the potential of the proposed multiple SFAM classifiers in offering an optimal solution to the data-ordering problem of SFAM implementation and also as an intelligent medical diagnosis tool.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Classification algorithms , Fuzzy neural networks , Fuzzy sets , Fuzzy systems , Medical diagnosis , Medical diagnostic imaging , Multilayer perceptrons , Pattern classification , Prototypes , Voting ;ART neural nets , benchmark testing , fuzzy neural nets , medical diagnostic computing , multilayer perceptrons , patient diagnosis , pattern classification , probability; ensemble neural networks , intelligent medical diagnosis tool , medical benchmark data sets , multilayer perceptron , prediction reliability , probabilistic plurality voting method , simplified fuzzy ARTMAP classifier; Index Terms- Simplified Fuzzy ARTMAP , ensemble neural networks. , medical diagnosis , plurality voting |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Artificial Intelligence |
| Depositing User: | Miss Nur Jannatul Adnin Ahmad Shafawi |
| Date Deposited: | 21 Mar 2013 01:50 |
| Last Modified: | 21 Mar 2013 01:50 |
| URI: | http://eprints.um.edu.my/id/eprint/5181 |
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