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用fx-3600p和180p袖珍程序计算器计算玻璃配合料表
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作者 刘光彬 《玻璃》 1990年第6期9-18,共10页
本文用程序计算器计算玻璃原料配料表,计算到输入的设计成分为零时的原料量,就是计算的配料表的原料用量,减轻了烦琐而紧张的脑力劳动计算工作.并缩短了计算步骤,十个加合数值的计算均由程序自动进行,提高了计算速度.计算准确度为十万... 本文用程序计算器计算玻璃原料配料表,计算到输入的设计成分为零时的原料量,就是计算的配料表的原料用量,减轻了烦琐而紧张的脑力劳动计算工作.并缩短了计算步骤,十个加合数值的计算均由程序自动进行,提高了计算速度.计算准确度为十万分之一,使配合料的质量精度稳定在0.01‰. 展开更多
关键词 计算器 计算 玻璃 配合料表
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DEPTH PREDICTION OF RAIN WATER ON ROAD SURFACE BASED ON ARTIFICIAL NEURAL NETWORK 被引量:2
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作者 季天剑 安景峰 +1 位作者 何申明 李春雷 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2006年第2期115-119,共5页
A model based on the non-linear artificial neural network (ANN) is established to predict the thickness of the water film on road surfaces. The weight and the threshold can be determined by training test data, and t... A model based on the non-linear artificial neural network (ANN) is established to predict the thickness of the water film on road surfaces. The weight and the threshold can be determined by training test data, and the water film thickness on the road surface can be accurately predicted by the empirical verification based on sample data. Results show that the proposed ANN model is feasible to predict the water film thickness of the road surface. 展开更多
关键词 overland flow gradation of asphalt mixture artificial neural network depth of rain water on road surface
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