| 基于软计算的航电系统智能费用预测模型 |
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| 引用本文： | 朱力立,李庄生,许宗泽.基于软计算的航电系统智能费用预测模型[J].洪都科技,2006(1):1-11. |
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| 作者姓名： | 朱力立 李庄生 许宗泽 |
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| 作者单位： | 1. 洪都航空工业集团
2. 南京航空航天大学信息科学与技术学院 |
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| 摘 要： | 在估计机载航电系统费用时,对数线性回归估算关系式存在许多问题。本文采用软计算技术构建智能预测模型,通过真实航电系统生产费用数据集的训练和预测,系统地研究了这些基于软计算的智能费用预测模型的性能。建模及测试结果表明,这些模型总体上在预测精度和模型鲁棒性等方面优于回归类模型。
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| 关 键 词： | 航空电子系统 软计算 费用预测 |
| 收稿时间： | 2006-01-12 |
| 修稿时间： | 2006-01-12 |
Intelligent Cost Prediction Model for Avionics System Based on Soft Computing |
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| Zhu lili,Li zhuangsheng,Xu zongze.Intelligent Cost Prediction Model for Avionics System Based on Soft Computing[J].Hongdu Science and Technology,2006(1):1-11. |
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| Authors: | Zhu lili Li zhuangsheng Xu zongze |
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| Institution: | Hongdu Aviation Industry Group College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics |
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| Abstract: | There exist many problems for the logarithm linear regression formulations during estimating the cost of airborne avionics system. Soft computing (SC) technologies are used in this paper for building the intelligent prediction models. The performances of those intelligent cost prediction models based on the soft computing are studied systematically through the training and prediction of data set of authentic avionics production cost. The model building and testing results show that the SC models have higher prediction precision and better robustness than the regression models. |
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| Keywords: | Avionics system Soft computing Cost prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
