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Spectroscopic monitoring using neural networks

机译:使用神经网络进行光谱监控

摘要

A method of processing a substrate includes performing a process of modifying a thickness of an outer layer of the substrate on the substrate, measuring a spectrum of light reflected from the substrate during the process, and generating a plurality of component values. In addition, reducing the number of dimensions of the measured spectrum, generating a characteristic value using an artificial neural network, and, based on the characteristic value, determining whether to stop processing the substrate and adjusting processing parameters. Determining one. The artificial neural network has a plurality of input nodes for receiving a plurality of component values, one output node for outputting a characteristic value, and a plurality of hidden nodes connecting the input nodes and the output nodes. [Selection diagram] FIG.
机译:一种处理基板的方法,包括进行以下处理:改变基板在基板上的外层的厚度;测量在该处理期间从基板反射的光的光谱;以及生成多个成分值。另外,减少测量光谱的维数,使用人工神经网络生成特征值,并且基于该特征值,确定是否停止处理基板并调整处理参数。确定一个。人工神经网络具有用于接收多个分量值的多个输入节点,用于输出特征值的一个输出节点以及连接输入节点和输出节点的多个隐藏节点。 [选择图]

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