Knowledge Management System Of Guangzhou Institute of Geochemistry，CAS
| Protein secondary structure prediction methods based on RBF neural networks | |
Jing N; Xia B; Zhou CG; Wang Y
| |
| Source Publication | 1st International Conference on Computational Methods (ICCM04) |
| 2004-12-15 | |
| Conference Date | 2004-12-15 |
| Conference Place | Singapore, SINGAPORE |
| Indexed By | SCI |
| Language | 英语 |
| Abstract | To solve the complicated non-linear mode-sorting problem of protein secondary structure prediction, the chapter proposed a new method based on radial basis function neural networks and learning from evolution. It also discussed the influence of data selection and structure design on the performance of the networks. The results indicate that this method is feasible and effective. |
| Document Type | 会议论文 |
| Identifier | http://ir.gig.ac.cn/handle/344008/9398 |
| Collection | 中科院广州地化所(-2008) |
| Recommended Citation GB/T 7714 | Jing N,Xia B,Zhou CG,et al. Protein secondary structure prediction methods based on RBF neural networks[C],2004. |
| Files in This Item: | There are no files associated with this item. | |||||
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