Ignition temperature and activation energy of power coal blends predicted with back-propagation neural network models

Title
Ignition temperature and activation energy of power coal blends predicted with back-propagation neural network models
Authors
Keywords
Back-propagation neural network, Power coal blends, Ignition temperature, Activation energy
Journal
FUEL
Volume 173, Issue -, Pages 230-238
Publisher
Elsevier BV
Online
2016-01-22
DOI
10.1016/j.fuel.2016.01.043

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started