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基于特征的回转类零件CAD/CAPP集成系统信息描述 总被引:1,自引:0,他引:1
提出了一种基于特征的回转类零件CAD/GAPP集成系统的零件信息描述方法。系统以AutoCAD2000为开发平台,针对回转类零件的结构及加工特点,研究了通过分层信息描述,建立基于设计/制造特征的零件信息模型的方法,实现了回转类零件CAD/CAPP系统的信息集成。 相似文献
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基于深度残差网络和GRU的SqueezeNet模型的交通路标识别 总被引:1,自引:0,他引:1
Existing traffic road sign recognition methods are all based on convolutional neural networks. As the number of the model network layers increases, the recognition accuracy will also be improved, but there are still some problems such as the reduction of efficiency and the increase of the number of parameters. Therefore, an improved SqueezeNet model combining deep residual network with GRU neural network (SqueezeNet IR GRU) is proposed. In order to enhance the learning efficiency, ELU function is used as the activation function. To avoid the disappearance of gradients when the network layer is too deep, a deep residual network is introduced to guarantee the stability of the model, GRU neural network that can memorize the important past features is utilized. Experiments were performed on the Cafir 10 and GTSRB datasets, and their recognition accuracy rates are above 99.13% and 88.25%respectively. The experimental results show that the SqueezeNet IR GRU model not only reduces the parameter amount greatly, but also its convergence, stability and recall rate are all much better than others. 相似文献
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针对铣刀磨损状态实时监测问题,提出融合三向多源监测信号构建基于卷积神经网络的铣刀磨损状态监测模型.首先,将三个方向振动监测信号转换成幅值谱作为网络模型的输入;其次,构建了单源数据卷积神经网络磨损监测模型;最后,采用决策层数据融合方法得到基于多源振动信号融合的铣刀磨损状态监测模型.实例验证表明:该方法用于刀具磨损状态识别... 相似文献
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