請用此 Handle URI 來引用此文件：
http://localhost:8080/xmlui/handle/123456789/131122| 標題: | Recurrent Neural Networks |
| 作者: | Xiaolin Hu and P. Balasubramaniam |
| 公開日期: | 2008 |
| 出版社: | InTech |
| 摘要: | The concept of neural network originated from neuroscience, and one of its primitive aims is to help us understand the principle of the central nerve system and related behaviors through mathematical modeling. The first part of the book is a collection of three contributions dedicated to this aim. The second part of the book consists of seven chapters, all of which are about system identification and control. The third part of the book is composed of Chapter 11 and Chapter 12, where two interesting RNNs are discussed, respectively.The fourth part of the book comprises four chapters focusing on optimization problems. Doing optimization in a way like the central nerve systems of advanced animals including humans is promising from some viewpoints. |
| 連結: | http://www.intechopen.com/books/recurrent_neural_networks |
| 關鍵字: | Computer and Information Science; Numerical Analysis and Scientific Computing |
| ISBN: | 978-953-7619-08-4 |
| 主題: | 教科書-自然科學類 |
文件中的檔案：
沒有與此文件相關的檔案。
在 DSpace 系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。