| 军用无人机研制费用的RBF神经网络预测 |
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| 引用本文： | 郭风,李登科,张恒喜,孟科.军用无人机研制费用的RBF神经网络预测[J].电光与控制,2005,12(6):60-62. |
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| 作者姓名： | 郭风 李登科 张恒喜 孟科 |
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| 作者单位： | 空军工程大学工程学院,陕西,西安,710038 |
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| 摘 要： | 应用基于最近邻聚类算法的径向基函数(RBF)网络建立了军用无人机研制费用预测模型,并采用该模型对某型军用无人机研制费用进行了预测。实例表明,与多元线性回归和BP神经网络的预测结果相比,建立的新型军用无人机研制费用预测模型具有更高的预测精度。
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| 关 键 词： | 最近邻聚类算法 RBF网络 费用预测 BP网络 无人机 |
| 文章编号： | 1671-637X（2005）06-0060-03 |
| 收稿时间： | 2004-12-27 |
| 修稿时间： | 2004-12-272005-06-10 |
Prediction of military UAV development cost by RBF network |
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| GUO Feng,LI Deng-ke,ZHANG Heng-xi,MENG Ke.Prediction of military UAV development cost by RBF network[J].Electronics Optics & Control,2005,12(6):60-62. |
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| Authors: | GUO Feng LI Deng-ke ZHANG Heng-xi MENG Ke |
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| Abstract: | The RBF network based on improved nearest neighbor-clustering algorithm is introduced at first.Then a model is built based on RBF network for predicting the military unmanned air vehicle(UAV) development cost prediction. The development cost of a certain type of military UAV is predicted by using the model.The example shows that compared with traditional linear regression and BP neural network,the result calculated by the new model is more accurate. |
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| Keywords: | nearest neighbor-clustering algorithm RBF network cost prediction BP network UAV |
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