| BP神经网络的飞机机体研制费用估算 |
| |
| 引用本文： | 李登科,张恒喜,李寿安. BP神经网络的飞机机体研制费用估算[J]. 火力与指挥控制, 2006, 31(9): 27-29 |
| |
| 作者姓名： | 李登科 张恒喜 李寿安 |
| |
| 作者单位： | 空军工程大学工程学院,陕西,西安,710038;空军工程大学工程学院,陕西,西安,710038;空军工程大学工程学院,陕西,西安,710038 |
| |
| 摘 要： | 提出一种应用人工神经网络预测飞机机体研制费用的方法.该方法利用偏最小二乘法对飞机性能参数进行了主成分提取,用这些主成分作为BP网络的输入变量,建立了一种基于BP神经网络的飞机研制费用的估算模型,应用该模型对典型的飞机机体研制费用进行了预测.预测结果表明,该方法是有效的、可行的.
|
| 关 键 词： | 飞机研制费用 BP网络 主成分 |
| 文章编号： | 1002-0640(2006)09-0027-03 |
| 修稿时间： | 2004-10-20 |
Development Cost Estimation of Aircraft Frame based on BP Neural Networks |
| |
| LI Deng-ke,ZHANG Heng-xi,LI Shou-an. Development Cost Estimation of Aircraft Frame based on BP Neural Networks[J]. Fire Control & Command Control, 2006, 31(9): 27-29 |
| |
| Authors: | LI Deng-ke ZHANG Heng-xi LI Shou-an |
| |
| Abstract: | A forecasting method of artificial neural network is proposed to estimate the development costs of aircraft frame.The method selects primary components of the aircraft performance parameters by the partial least square regression,and regards them as the BP network's input variables to build a development cost forecasting model based on BP network.The model is applied in development cost forecasting of typical aircraft frames,the results forecasted show that the method is valid and feasible. |
| |
| Keywords: | airplane development cost BP network primary components |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
