计算机工程与应用2011，Vol.47Issue(23)：232-234,3.DOI:10.3778/j.issn.1002-8331.2011.23.065
概率神经网络在舰艇冲击损伤决策中的应用
Application of PNN to making decision on damage of naval vessel to shock loadings
摘要
Abstract
Based on the advantages of probabilistic neural network in classification,a new decision-making method for evaluating damage of shocked naval vessel systems in the analysis of the survivability is presented,which regards evaluating damage of vessel systems in shock environment as a classification problem to solve.The model of classifying survivability of shocked naval vessel is established with limited training samples.As an illustrative instance, the vulnerability of a naval vessel's subsystem is evaluated, which proves the validity for the application of PNN in the evaluation of vessel vulnerability.In numerical experiments the effect of relevant parameters on classification results are also discussed.关键词
舰艇/概率神经网络/分类/损伤/易损性Key words
naval vessel/ Probabilistic Neural Network (PNN)/ classification/ damage/ vulnerability分类
信息技术与安全科学引用本文复制引用
蒋丰,温建明,冯奇..概率神经网络在舰艇冲击损伤决策中的应用[J].计算机工程与应用,2011,47(23):232-234,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.10702051). （the National Natural Science Foundation of China under Grant No.10702051）
