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板材成形是板材成形自动化和柔性加IT系统发展的更高阶段,本文利用神经网络算法对识别过程进行了分析,确定了识别方案,分析了模型训练结果,训练结果表明:采用这种方法降低了识别误差,提高了识别的精确度。
Sheet metal forming is a higher stage of sheet forming automation and flexible IT system development. In this paper, the neural network algorithm is used to analyze the recognition process, identify the identification scheme and analyze the model training results. The training results show that this method reduces Identify errors and improve recognition accuracy.