| 基于BP神经网络误差函数优化算法的武器装备承制商信用评价模型研究 |
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| 引用本文： | 张蓉,陈云翔,李大伟.基于BP神经网络误差函数优化算法的武器装备承制商信用评价模型研究[J].数学的实践与认识,2012,42(21):141-147. |
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| 作者姓名： | 张蓉 陈云翔 李大伟 |
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| 作者单位： | 空军工程大学装备管理与安全工程学院,陕西西安,710038 |
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| 摘 要： | 信用评价是选择武器装备承制商的重要手段.以国标为基础,结合承制商具体情况确定了信用评价指标体系.分析了传统信用评价方法的不足,对经典BP神经网络的误差函数进行优化,优化后的网络模型收敛速度更快,预测精度更高.构建BP神经网络武器装备承制商信用评价模型,仿真实验表明武器装备承制商信用评价可以选用BP神经网络模型.
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| 关 键 词： | 武器装备承制商 信用评价 BP神经网络 误差函数 |
Research on Credit Evaluation Model Design and Simulation of Weapon Equipment Suppliers |
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| ZHANG Rong
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CHEN Yun-xiang
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LI Da-wei.Research on Credit Evaluation Model Design and Simulation of Weapon Equipment Suppliers[J].Mathematics in Practice and Theory,2012,42(21):141-147. |
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| Authors: | ZHANG Rong CHEN Yun-xiang LI Da-wei |
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| Institution: | (Material Management and Safety Engineering Institute,Air Force Engineering University,Xi’an 710038,China) |
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| Abstract: | Credit evaluation is an important means to select weapon equipment suppliers. Integrated with characteristics of weapon equipment suppliers,credit evaluation index system is established based on China's National Standard.Deficiency of traditional credit evaluation method is analyzed.Error function of traditional BP neural network is improved,which has a faster convergence and higher prediction accuracy.Credit evaluation model of weapon equipment suppliers based on BP neural network is set up.Simulation results show that credit evaluation model of weapon equipment suppliers based on BP neural is valid. |
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| Keywords: | weapon equipment suppliers credit evaluation BP neural network error function |
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