التفاصيل البيبلوغرافية
| العنوان: |
An iterative orthogonal forward regression algorithm |
| المؤلفون: |
Yuzhu Guo, L.Z. Guo, S.A. Billings, Hua-Liang Wei |
| المجموعة: |
RePEc (Research Papers in Economics) |
| الوصف: |
A novel iterative learning algorithm is proposed to improve the classic Orthogonal Forward Regression (OFR) algorithm in an attempt to produce an optimal solution under a purely OFR framework without using any other auxiliary algorithms. The new algorithm searches for the optimal solution on a global solution space while maintaining the advantage of simplicity and computational efficiency. Both a theoretical analysis and simulations demonstrate the validity of the new algorithm. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| العلاقة: |
http://hdl.handle.net/10.1080/00207721.2014.981237Test |
| DOI: |
10.1080/00207721.2014.981237 |
| رقم الانضمام: |
edsbas.EA545B26 |
| قاعدة البيانات: |
BASE |
