基于神经网络的导弹并行测试系统安全性模糊综合评价研究

Study on Security Fuzzy Comprehensive Evaluation of Missile PATS Based on Neural Network

针对传统导弹并行测试系统安全性评价主观因素突出的缺点,提出基于神经网络的导弹并行测试系统安全性模糊综合评估模型。首先建立了导弹并行测试系统安全性评价的指标体系,其次介绍了基于IA-BP神经网络的模糊综合评价模型,并详细介绍了模型应用的方法和步骤,最后通过实例分析,得出结论。结果表明基于IA-BP神经网络的模糊综合评价方法具有运算速度快、通用性强的特点,利用该方法对导弹并行测试系统的安全性进行评价具有可行性和客观有效性。

The Missile Parallel Automatic Test System （MPATS） ＇s security fuzzy comprehensive evaluation model based on neural net work is established, aiming at the disadvantage of traditional MPATS security evaluation method which depend on subiective factors. Firstly, the indexes architecture of parallel test system security evaluation is established. Secondly, the fuzzy comprehensive model based on IA gP NN is introduced, the application method and process of model is also introduced in detail. At last the conclusion is given by analyzing the ap plication result of an example. The conclusion shows that the fuzzy comprehensive evaluation method based on IA-BP NN has a high opera tion efficiency and universality, this method in MPATS security evaluation is aDDropriate and validate.