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首页> 外文期刊>Applied optics >ESTIMATION OF OPTICAL CONSTANTS OF THIN FILM BY THE USE OF ARTIFICIAL NEURAL NETWORKS
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ESTIMATION OF OPTICAL CONSTANTS OF THIN FILM BY THE USE OF ARTIFICIAL NEURAL NETWORKS

机译:利用人工神经网络估计薄膜的光学常数

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摘要

A system for analyzing single-layer optical thin films has been formulated by the use of artificial neural networks. The training data sets stem from the computational results of the physical model of thin films, and they are used to train the artificial neural network, which, when done, can give values of film parameters in the millisecond time regime. The fast backpropagation algorithm is employed during training. The results of training are also given. (C) 1996 Optical Society of America [References: 12]
机译:已经通过使用人工神经网络制定了用于分析单层光学薄膜的系统。训练数据集源于薄膜物理模型的计算结果,并用于训练人工神经网络,人工神经网络完成后可以给出毫秒级的电影参数值。在训练期间采用快速反向传播算法。还给出了培训结果。 (C)1996年美国眼镜学会[参考文献:12]

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