Gasification of food waste in supercritical water: An innovative synthesis gas composition prediction model based on Artificial Neural Networks

Title
Gasification of food waste in supercritical water: An innovative synthesis gas composition prediction model based on Artificial Neural Networks
Authors
Keywords
Food waste, Supercritical water gasification, Synthesis gas, Hydrogen, Artificial neural network, Prediction
Journal
Publisher
Elsevier BV
Online
2021-02-21
DOI
10.1016/j.ijhydene.2021.01.122

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started