| 基于MSOA神经网络模型的装备保障费用预测 |
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| 引用本文： | 廖博,王端民. 基于MSOA神经网络模型的装备保障费用预测[J]. 火力与指挥控制, 2009, 0(Z1) |
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| 作者姓名： | 廖博 王端民 |
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| 作者单位： | 空军工程大学工程学院; |
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| 摘 要： | 引入基于多步骤优化方法(MSOA)神经网络模型用以预测装备保障费用。实验结果表明,与传统的ARIMA时间序列模型和常规BP神经网络模型相比,基于MSOA神经网络预测模型具有更高预测精度。因此,该模型是一种更有效的装备保障费用预测模型。
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| 关 键 词： | 多步骤优化方法 BP神经网络 装备保障费用 预测 |
A Neural Network Model based on MSOA for Equipment Support Cost Forecasting |
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| LIAO Bo,WANG Duan-min. A Neural Network Model based on MSOA for Equipment Support Cost Forecasting[J]. Fire Control & Command Control, 2009, 0(Z1) |
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| Authors: | LIAO Bo WANG Duan-min |
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| Affiliation: | Engineering College;Air Force Engineering University;Xi'an 710038;China |
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| Abstract: | In this paper,a multi-stage optimization approach(MSOA) used in backpropagation algorithm for training neural network is introduced to predict equipment support cost.The experimental results show MSOA model forecasts are considerably more accurate than either the traditional ARIMA model or conventional BP model.So we can conclude that MSOA is an more effective model for equipment support cost forecasting. |
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| Keywords: | MSOA BP network equipment support cost forecast |
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