Skip to content
VuFind
Advanced
  • Prediction of coal hydrogen co...
  • Cite this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
Prediction of coal hydrogen content for combustion control in power utility using neural network approach
QR Code

Prediction of coal hydrogen content for combustion control in power utility using neural network approach

Bibliographic Details
Main Authors: Saptoro, Agus, Yao, Hong Mei, Tade, Moses, Vuthaluru, Hari
Format: Journal Article
Published: ELSEVIER 2008
Online Access:http://hdl.handle.net/20.500.11937/15928
  • Holdings
  • Description
  • Similar Items
  • Staff View

Internet

http://hdl.handle.net/20.500.11937/15928

Similar Items

  • Prediction of Coal Properties using Neural Networks : Novel Approach Based on Small Training Dataset
    by: Saptoro, Agus, et al.
    Published: (2008)
  • Predictions of Coal Properties Using Empirical Models
    by: Saptoro, Agus, et al.
    Published: (2014)
  • A Modified Kennard-Stone Algorithm for Optimal Division of Data for Developing Artificial Neural Network Models
    by: Saptoro, Agus, et al.
    Published: (2012)
  • Influences of Indonesian coals on the performance of a coal-fired power plant with an integrated post combustion CO2 removal system: A comparative simulation study
    by: Saptoro, Agus, et al.
    Published: (2013)
  • Predicting Emissivities of Combustion Gases
    by: Bahadori, Alireza, et al.
    Published: (2009)

Search Options

  • Advanced Search

Find More

  • Browse the Catalog

Need Help?

  • Search Tips