In this paper, a neural network controller is designed for ash content control of papermaking process, neural networks are trained by using the output error of the controlled plant directly.
对于非线性,大时延、变参数的造纸过程灰份含量的控制,本文给出了一种神经网络控制方法。
Comparisons with the chronical records of the volcanic ash layers contained in the middle upper part of the core suggest an age error less than 3%.
与冰芯中上部含深褐色火山灰冰层的历史记录年代相比误差小于3%。
Comparisons with the chronical records of the volcanic ash layers contained in the middle upper part of the core suggest an age error less than 3%.
与冰芯中上部含深褐色火山灰冰层的历史记录年代相比误差小于3%。
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