The prediction of Granulating Effect Based on BP Neural Network
During the granulation process of Iron ore sinter mixture, there are many factors affect the granulating effect, such as chemical composition, size distribution, surface feature of particle, and so on. Some researchers use traditional fitting calculation methods like least square method and regressi...
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| Main Authors: | , , |
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2014-06-01.
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| LEADER | 01733 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | ijeecs3525_1790 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Li, Fang |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Wu, Kaigui |e author |
| 700 | 1 | 0 | |a Zhao, Guanyin |e author |
| 245 | 0 | 0 | |a The prediction of Granulating Effect Based on BP Neural Network |
| 260 | |b Institute of Advanced Engineering and Science, |c 2014-06-01. | ||
| 520 | |a During the granulation process of Iron ore sinter mixture, there are many factors affect the granulating effect, such as chemical composition, size distribution, surface feature of particle, and so on. Some researchers use traditional fitting calculation methods like least square method and regression analysis method to predict granulation effects, which exists big error. In order to predict it better, we build improved BP (Back propagation) neural network model to carry out data analysis and processing, and then obtain better effect than traditional fitting calculation methods. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5481 | ||
| 540 | |a Copyright (c) 2014 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 6: June 2014; 4451-4456 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v12.i6 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3525/1790 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3525/1790 |z Get fulltext |