Hybrid Modeling for Endpoint Carbon Content Prediction in EAF Steelmaking-Reference-Cited by-同舟云学术

Hybrid Modeling for Endpoint Carbon Content Prediction in EAF Steelmaking

Published:2018 Issue: Volume: Page:211-224
ISSN:2367-1181
Container-title:The Minerals, Metals & Materials Series
language:
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Author:

Wei Guang-sheng,Zhu Rong,Yang Lingzhi,Tang Tianping

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-72131-6_19

Reference13 articles.

1. Zhou GY, Peng ZS (2012) Research and application of final carbon control in a 45t electric arc furnace. J Univ Sci Technol Beijing S1: 49–53 (in Chinese)

2. Rajesh N, Khare MR, Pabi SK (2010) Feed forward neural network for prediction of end blow oxygen in LD converter steel making. Mater Res 1:15–19.

3. Tian HX, Mao ZZ, Wang Y (2008) Hybrid modeling of molten steel temperature prediction in LF. ISIJ Int 1:58–62

4. Jiang J, Sun HD, Sun T, Jiang L (2007) Neural network predictive model for end point temperature in oxidation of 100t EAF. Steelmaking 2:31–33 (in Chinese)

5. Huang GB, Zhu QY Siew CK (2007) Extreme learning machine: theory and applications. Neruocomputing 1–3:489–501

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