Prediction of Moisture Content Removal from Sludge by Artificial Neural Network Modelling
This study predicted the moisture content removed from sludge samples which underwent oven-dry tests by means of neural artificial network modelling. Sludge management is a global predicament in which challenges in solving it include cost- saving, space usage-optimization, and environmentalism. Info...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Published: |
Universiti Teknologi PETRONAS
2020
|
| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/21048/1/Dissertation_JoidanLau_Final.pdf http://utpedia.utp.edu.my/21048/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This study predicted the moisture content removed from sludge samples which underwent oven-dry tests by means of neural artificial network modelling. Sludge management is a global predicament in which challenges in solving it include cost- saving, space usage-optimization, and environmentalism. Information pertaining to drying sludge and removing its moisture content is pertinent as it determines sludge management quality as it determines the costs of management. Hence, a model predicting sludge moisture content could help provide more insight into dewatering sludge which is often overlooked, in contrast to techniques of dewatering sludge. There remains a dearth of research done in this regard. Hence this endeavor is worthwhile for the potential expansions of such work may make headway to more profitable discoveries. |
|---|