| 基于RBF神经网络的组合导航软件可靠性滚动预测 |
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| 引用本文： | 崔伟成,刘林密,孟凡磊. 基于RBF神经网络的组合导航软件可靠性滚动预测[J]. 电子质量, 2011, 0(8): 14-16,19 |
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| 作者姓名： | 崔伟成 刘林密 孟凡磊 |
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| 作者单位： | 海军航空工程学院飞行器工程系,山东烟台,264001 |
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| 摘 要： | 针对组合导航系统软件可靠性的预测问题,研究了系统累积故障数与系统运行时间的关系,提出一种基于RBF神经网络的软件可靠性预测模型,取得了理想的短期预测效果。为了获得较好的长期预测效果,采取滚动式训练、在线调整网络结构的方法对之加以改进。仿真结果表明,该模型拟合精度优于J-M模型、与G-O模型相当,预测精度高;该模型不需假...
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| 关 键 词： | 组合导航 RBF神经网络 滚动预测 软件可靠性 |
Rolling Prediction of Software Reliability in Integrated Navigation System Based on RBF Neural Network |
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| Cui Wei-cheng,Liu Lin-mi,Meng Fan-lei. Rolling Prediction of Software Reliability in Integrated Navigation System Based on RBF Neural Network[J]. Electronics Quality, 2011, 0(8): 14-16,19 |
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| Authors: | Cui Wei-cheng Liu Lin-mi Meng Fan-lei |
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| Affiliation: | (Department of Aircraft Engineering,Naval Aeronautical and Astronautical University,Shandong Yantai 264001) |
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| Abstract: | In order to meet the needs of accurately predicting the number of faults in program modules in integrated navigation system,the relation of the faults number and the running time was study,and a software reliability prediction mode based on RBF neural net |
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| Keywords: | integrated navigation system RBF neural network rolling prediction software reliability |
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