Chrome Extension
WeChat Mini Program
Use on ChatGLM
VIPCreated with Sketch.

对烧结矿FeO含量预测的数学模型研究

Zhang Fan,Wei Guo,Pang Wei,Gao Qiangjian,Chen Weiliang,Wen Qiulin,Du Gang

Journal of Materials and Metallurgy（2013）

Cited 0|Views20
No score
Abstract
分析烧结生产中影响烧结矿FeO含量的众多因素,选择碱度、配煤量、一次温度、制粒效果、加水量、料层厚度、点火温度、煤气流量等8个工艺参数以及4种矿粉配比作为FeO含量预报模型的输入变量.分别采用BP神经网络、RBF神经网络、SVM 3种进行建模预测.预测结果表明,SVM预测性能优于BP神经网络,RBF神经网络优于SVM.
More
Translated text
Key words
prediction of FeO content,BP,RBF,SVM
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined