A hybrid neural network system for pattern classification tasks with missing features.
other · Level V
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- Record sourced from PubMed, PMID 15794170.
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Abstract
A hybrid neural network comprising Fuzzy ARTMAP and Fuzzy C-Means Clustering is proposed for pattern classification with incomplete training and test data. Two benchmark problems and a real medical pattern classification task are employed to evaluate the effectiveness of the hybrid network. The results are analyzed and compared with those from other methods.
Medical subject headings
- Algorithms
- Decision Support Systems, Clinical
- Diagnosis, Computer-Assisted
- Fuzzy Logic
- Neural Networks, Computer
- Pattern Recognition, Automated