Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction
In this study, Machine learning (ML) models integrated with genetic algorithm (GA) and particle swarm optimization (PSO) have been developed to predict, evaluate, and analyze biochar yield using biomass properties and process operating conditions. Comparative study of different ML algorithms integra...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier Ltd
2022
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/101251/ http://dx.doi.org/10.1016/j.biortech.2022.128008 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|