| Intelligent Cost Modeling Based on Soft Computing for Avionics Systems |
| |
| 作者姓名： | 朱力立 李庄生 许宗泽 |
| |
| 作者单位： | [1]Design Institute 650, Hongdu Aviation Industry Group Nangchang 330024 China [2]College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics Nanjing 210016 China |
| |
| 摘 要： | In parametric cost estimating, objections to using statistical Cost Estimating Relationships （CERs） and parametric models include problems of low statistical significance due to limited data points, biases in the underlying data, and lack of robustness. Soft Computing （SC） technologies are used for building intelligent cost models. The SC models are systemically evaluated based on their training and prediction of the historical cost data of airborne avionics systems. Results indicating the strengths and weakness of each model are presented. In general, the intelligent cost models have higher prediction precision, better data adaptability, and stronger self-learning capability than the regression CERs.
|
| 关 键 词： | 航空电子系统 软件处理 智能模型 参数估计 |
| 收稿时间： | 2005-12-20 |
Intelligent Cost Modeling Based on Soft Computing for Avionics Systems |
| |
| ZHU Li-li,LI Zhuang-sheng,XU Zong-ze.Intelligent Cost Modeling Based on Soft Computing for Avionics Systems[J].Journal of Electronic Science Technology of China,2006,4(2):136-143. |
| |
| Authors: | ZHU Li-li LI Zhuang-sheng XU Zong-ze |
| |
| Abstract: | In parametric cost estimating, objections to using statistical Cost Estimating Relationships (CERs) and parametric models include problems of low statistical significance due to limited data points, biases in the underlying data, and lack of robustness. Soft Computing (SC) technologies are used for building intelligent cost models. The SC models are systemically evaluated based on their training and prediction of the historical cost data of airborne avionics systems. Results indicating the strengths and weakness of each model are presented. In general, the intelligent cost models have higher prediction precision, better data adaptability, and stronger self-learning capability than the regression CERs. |
| |
| Keywords: | avionics system Soft Computing (SC) parametric cost estimation intelligent model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
