Prediction of coal hydrogen content for combustion control in power utility using neural network approach
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
ELSEVIER
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/15928 |
| _version_ | 1848749028854988800 |
|---|---|
| author | Saptoro, Agus Yao, Hong Mei Tade, Moses Vuthaluru, Hari |
| author_facet | Saptoro, Agus Yao, Hong Mei Tade, Moses Vuthaluru, Hari |
| author_sort | Saptoro, Agus |
| building | Curtin Institutional Repository |
| collection | Online Access |
| first_indexed | 2025-11-14T07:14:26Z |
| format | Journal Article |
| id | curtin-20.500.11937-15928 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:14:26Z |
| publishDate | 2008 |
| publisher | ELSEVIER |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-159282017-09-13T14:08:01Z Prediction of coal hydrogen content for combustion control in power utility using neural network approach Saptoro, Agus Yao, Hong Mei Tade, Moses Vuthaluru, Hari 2008 Journal Article http://hdl.handle.net/20.500.11937/15928 10.1016/j.chemolab.2008.07.007 ELSEVIER restricted |
| spellingShingle | Saptoro, Agus Yao, Hong Mei Tade, Moses Vuthaluru, Hari Prediction of coal hydrogen content for combustion control in power utility using neural network approach |
| title | Prediction of coal hydrogen content for combustion control in power utility using neural network approach |
| title_full | Prediction of coal hydrogen content for combustion control in power utility using neural network approach |
| title_fullStr | Prediction of coal hydrogen content for combustion control in power utility using neural network approach |
| title_full_unstemmed | Prediction of coal hydrogen content for combustion control in power utility using neural network approach |
| title_short | Prediction of coal hydrogen content for combustion control in power utility using neural network approach |
| title_sort | prediction of coal hydrogen content for combustion control in power utility using neural network approach |
| url | http://hdl.handle.net/20.500.11937/15928 |