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通过对 CAPP系统零件信息描述与输入方法的分析 ,提出了基于特征的蜗轮蜗杆信息描述方法。零件信息经扫描仪扫描输入计算机后 ,经过模式识别提取特征向量 ,然后加载神经网络学习训练
Based on the analysis of the CAPP system information description and input method, a feature-based worm gear worm information description method is proposed. Part information scanned by the scanner into the computer, after pattern recognition feature vector extraction, and then load the neural network learning training