| 期刊詳細資料 Journal detailed information |
| 作者(Author) | Jian-Jun Wang、Chan-Yun Yang、Jia Jing |
| 篇名(Article title) | Estimation of approximating rate for neural network in L(ω, p) spaces |
| 期刊名(Journal name) | Journal of Applied Mathematics |
| 國際期刊(International Journal) | SCI |
| 中文摘要(Abstrct) | |
| ABSTRCT | A class of Soblove type multivariate function is approximated by feedforward network with one hidden layer of sigmoidal units and a linear output. By adopting a set of orthogonal polynomial basis and under certain assumptions for the governing activation functions of the neural network, the upper bound on the degree of approximation can be obtained for the class of Soblove functions. The results obtained are helpful in understanding the approximation capability and topology construction of the sigmoidal neural networks. |
| 中文關鍵字(Keyword) | |
| KEYWORD | |
| 卷期(Volume No) | |
| 頁數(Page number) | |
| 年份(Year) | 2012 |
| 語言(Language) | 英文 English |