Research on Aircraft Object Recognition Model Based on Neural Networks
Research on Aircraft Object Recognition Model Based on Neural Networks
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DOI：
10.1109/iccsee.2012.330
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发表时间：
2012-03
期刊：
影响因子：
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通讯作者：
Wu Henan;Ling Dejun;W. Hongwei;Liu Ying;Sun Xiaorui
中科院分区：
文献类型：
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作者：
Wu Henan;Ling Dejun;W. Hongwei;Liu Ying;Sun Xiaorui
飞行器目标识别模型的有效性验证是一个难点。而神经网络可以满足许多非线性特征匹配的要求。提出了一种分层递阶的神经网络模型验证方法，将实际系统行为训练后归类为模型，并对模型的可信度进行评估，实验结果表明该方法是可行的。
There is much difficulty in aircraft object recognition model validation. But lots of non-linear feature matching requirements can be met by neural network. A hierarchical order of the neural network model validation method is carried out, the actual system behavior will be classified as one of model after trained and the model credibility also will be assessed, the experiment result shows that this method is feasible.