The Application of Improved Hill-Climbing in the Multiple Nonlinear Regression

Abstract:

The hill-climbing has been improved by using the percentage random step and by changing variable values instantly, which is under the condition of an improvement in the objective function having been made by a step forward of a variable in a certain direction, and the improved hill-climbing has been used to solve nonlinear regression problems , and the specific algorithm steps is given, and it has been validated with satisfactory results by using practical examples.

• Periodical: Advanced Materials Research (Volumes 396-398)
• Pages: 2353-2356
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.396-398.2353
• Online since: November 2011
• Authors: An Lin Li, Huan Ping Zhang, Hui Du, Yang Li, Hai Xiang Song
• Keywords: Hill-Climbing, Multiple Nonlinear Regression

References

[1] Nils J.Nilsson.Artificial Intelligence.China machine Press.Beijing.1999:39-40

[2] Jianguo Shi,Xiaoguan Gao,Xiangmin Li.Fire Control and Command Control.2008,33(1):9-12,in Chinese.

[3] Weiying Mao,Ming ChenGuiming He.Computer Engineering and Design.2002,23(2):60-64, in Chinese.

[4] Changqun Zhang.etc.Calculational Chemistry.Higher Education Press.Beijing.2006:88-90,in Chinese.

[5] Anlin Li.Chinese Journal.of Pharmaceuticals.1996,27(9):389-390,in Chinese.