Calibrating wavelet neural networks by distance orientation similarity fuzzy C-means for approximation problems
Improperly tuned wavelet neural network (WNN) has been shown to exhibit unsatisfactory generaliza-tion performance. In this study, the tuning is done by an improved fuzzy C-means algorithm, that utilizesa novel similarity measure. This similarity measure takes the orientation as well as the distance...
Disimpan dalam:
| Pengarang-pengarang Utama: | , |
|---|---|
| Format: | Artikel |
| Diterbitkan: |
Elsevier
2016
|
| Subjek-subjek: | |
| Capaian Atas Talian: | http://dx.doi.org/10.1016/j.asoc.2016.01.042 http://dx.doi.org/10.1016/j.asoc.2016.01.042 http://eprints.uthm.edu.my/8005/1/ong_pauline_U.pdf |
| Penanda-penanda: |
Tambah Penanda
Tiada Penanda, Jadilah orang pertama menanda rekod ini!
|
Jadilah orang pertama meninggalkan komen!