Temperature Prediction in Electric Arc Furnace with Neural Network Tree

1. Yan-Qing, Z., Fu-lai, C.: A Fuzzy Neural Network Tree with Heuristic Backpropagation Learning. Neural Networks (2002)

   Google Scholar 

2. Schetinin, V.: A Neural Network Decision Tree for Learning Concepts from EEG Data. In: NIMIA-SC (2001)

   Google Scholar 

3. Golea, M., Marchand, M.: A Growth Algorithm for Neural Network Decision Trees. Europhysics Lett. (1990)

   Google Scholar 

4. Foresti, G.L., Micheloni, C.: Generalized Neural Trees for Pattern Classification. IEEE Transactions on Neural Networks 13(6) (2002)

   Article  Google Scholar 

5. Fong, S., et al.: Applying a Hybrid Model of Neural Network and Decision Tree Classifier for Predicting University Admission. In: ICICS (2009)

   Google Scholar 

6. Chen, Y., et al.: Time-series forecasting using flexible neural tree model. Information Sciences (2004)

   Google Scholar 

7. Kordos, M., Blachnik, M., et al.: A Hybrid System with Regression Trees in Steelmaking Process. In: HAIS (2011)

   Google Scholar 

8. Wieczorek, T., Kordos, M.: Neural Network-based Prediction of Additives in the Steel Refinement Process. Computer Methods in Materials Science 10(1) (2010)

   Google Scholar 

9. Wieczorek, T., Blachnik, M., Maczka, K.: Building a model for time reduction of steel scrap meltdown in the electric arc furnace (EAF): General strategy with a comparison of feature selection methods. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol. 5097, pp. 1149–1159. Springer, Heidelberg (2008)

   Chapter  Google Scholar 

10. Kendall, M., et al.: A window into the electric arc furnace, a continuous temperature sensor measuring the complete furnace cycle. Archives of Metallurgy and Materials 53(2), 451–454 (2008)

    Google Scholar 

11. Millman, M.S., et al.: Direct observation of the melting process in an EAF with a closed slag door. Archives of Metallurgy and Materials 53(2), 463–468 (2008)

    Google Scholar 

12. Wendelstorf, J.: Analysis of the EAF operation by process modeling. Archives of Metallurgy and Materials 53(2), 385–390 (2008)

    Google Scholar 

13. Fernandez, J., et al.: Online estimation of electric arc furnace tap temperature by using fuzzy neural networks. Engineering Applications of Artificial Intelligence 21 (2008)

    Google Scholar 

14. Angiulli, F., Pizzuti, C.: Fast outlier detection in high dimensional spaces. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) PKDD 2002. LNCS (LNAI), vol. 2431, pp. 15–27. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

15. Kordos, M., Duch, W.: Variable step search algorithm for feedforward networks. Neurocomputing 71(13-15), 2470–2480 (2008)

    Article  Google Scholar 

16. Setiono, R., Thong, J.: An approach to generate rules from neural networks for regression problems. European Journal of Operational Research 155(1) (2004)

    Article  Google Scholar 

17. Czajkowski, M., Krętowski, M.: Globally induced model trees: An evolutionary approach. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds.) PPSN XI. LNCS, vol. 6238, pp. 324–333. Springer, Heidelberg (2010)

    Google Scholar 

18. Dataset, www.kordos.com/his.html

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