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METHOD FOR PREDICTING CLAMP FORCE USING CONVOLUTIONAL NEUTRAL NETWORK METHOD

机译:卷积神经网络法预测夹紧力的方法

摘要

A method for predicting a clamp force using a convolutional neutral network method includes: generating a cepstrum image from a signal processing analysis apparatus; extracting a characteristic image by multiplying a predetermined weight value to pixels of the generated cepstrum image through artificial intelligence learning; extracting, as a representative image, the largest pixel from the extracted characteristic image; synthesizing an image by synthesizing the extracted representative image information; and predicting a clamp force by comparing the synthesized image with a predetermined value.
机译:一种使用卷积神经网络方法预测夹持力的方法,包括:从信号处理分析装置生成倒谱图像;通过人工智能学习,通过将预定的权重值乘以生成的倒谱图像的像素来提取特征图像;从所提取的特征图像中提取最大像素作为代表图像;通过合成提取的代表图像信息来合成图像;通过将合成图像与预定值进行比较来预测夹持力。

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