Are neural networks a distinct tool for prediction and estimate of newly fallen snow?

被引：0
|
作者：
Yamada, Y
Iwanami, K
Maeda, N
Amenomori, M
Michigami, M
机构：
来源：
SNOW ENGINEERING: RECENT ADVANCES | 1997年
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D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
We tried to predict and to estimate the depth and water equivalent of daily new snowfall by using the neural network method based upon the back-propagation law. To increase the accuracy, the effective input meteorological factors were, first, selected by statistical means, then the selected factors were applied to the neural network. The result of a neuro-computing estimate by this cooperative procedure was as well as a statistical multiple regression analysis.
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页码：125 / 128
页数：4
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