| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 385372 | Expert Systems with Applications | 2011 | 12 Pages |
Abstract
⺠Studies were made on the proper initialization of wavelet neural networks (WNNs). ⺠A novel clustering algorithm was formulated and integrated in WNNs initialization. ⺠The improved WNNs were applied in heterogeneous cancer classification. ⺠Accuracies within 92-100% were obtained for four different microarray datasets. ⺠Comparison with general classifiers validates its beneficial potential.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zarita Zainuddin, Pauline Ong,