Neural-network models for predicting the quality of roasted electrodes

被引：0
|
作者：
Salikhov Z.G. [1 ]
Rutkovskii A.L. [1 ]
Soshkin S.V. [1 ]
Soshkin G.S. [1 ]
机构：
[1] Moscow Institute of Steel and Alloys, Northern Caucasus Mining and Metallurgical Institute, State Technological University, Moscow
来源：
Steel in Translation | 2011年 / 41卷 / 1期
关键词：
Neural Network; Electrical Resistivity; True Density; Granulometric Composition; Metal Loss;
D O I：
10.3103/S0967091211010104
中图分类号：
学科分类号：
摘要：
[No abstract available]
引用
收藏
页码：23 / 30
页数：7
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