位置：成果数据库 > 会议 > 会议详情页
Bayesian Neural Networks Based Pipeline Pressure Prediction for Steam System in Steel Industry
  • 所属机构名称：大连理工大学
  • 会议名称：, The proceedings of the 2013 International Conference on Modelling, Identification and Control
  • 时间：2013.10.1
  • 成果类型：会议
  • 相关项目：基于数据的冶金副产煤气多尺度综合预测及优化调整方法研究
作者： Zheng Lv|Ying Liu|Jun Zhao|Wei Wang|
同会议论文项目
基于数据的冶金副产煤气多尺度综合预测及优化调整方法研究
期刊论文 20 会议论文 9
同项目会议论文
Granular Computing Concept based long-term prediction of Gas Tank Levels in Steel Industry<br /&g
A Gaussian Process Echo State Networks Model for Time Series Forecasting
An echo state network based on error compensation for prediction of nonlinear time series in industr
Echo state network based prediction intervals estimation for blast<br /> furnace gas pipeline
基于MapReduce并行双重滤波估计的回声状态网络预测算法？
基于数据的高炉煤气系统模糊辨识
Data-driven Modeling by Gaussian Membership Based Sample Selection and Its application in Steel Ener
A Hybrid Genetic Algorithm for Byproduct Gas&nbsp;Scheduling in Steel Plant<br />