References

Chiu, S., 1994. Fuzzy model identification based on cluster estimation. J. Intell. Fuzzy Syst., 2: 267-278.
Direct Link  |  

Deo, B. and R. Boom, 1993. Fundamentals of Steelmaking Metallurgy. Prentice Hall International, New York, USA., ISBN:9780133453805, Pages: 300.

Riedmiller, M. and H. Braun, 1993. A direct adaptive method for faster backpropagation learning: The RPROP algorithm. IEEE Int. Conf. Neural Networks, 1: 586-591.

Rumelhart, D.E., J.L. McMclelland and C. Asanuma, 1986. Parallel Distributed Processing: Explorations in the Microstructure of Cognition. 1st Edn., MIT Press, Cambridge, MA, ISBN:0262181231.

Sapna, S. and P.M. Kumar, 2015. An integrated approach to big data using fuzzy technique. Intl. J. Appl. Eng. Res., 10: 12-16.

Sivanandam, S.N. and S.N. Deepa, 2011. Principles of Soft Computing. 2nd Edn., Wiley India Private Limited, India, ISBN-13: 978-8126527410, pp: 470-471.

Somkuwar, V., 2013. Prediction of hardness of high speed steel using artificial neural network. Intl. J. Eng. Sc. Innovative Technol., 2: 93-98.
Direct Link  |  

Somkuwar, V., 2013. Use of artificial neural network for predicting the mechanical property of low carbon steel. J. Eng. Comput. Appl. Sci., 2: 43-49.
Direct Link  |  

Takagi, T. and M. Sugeno, 1985. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern., 15: 116-132.
CrossRef  |  Direct Link  |  

Wieczorek, T. and M. Kordos, 2010. Neural network-based prediction of additives in the steel refinement process. Comput. Methods Mater. Sci., 10: 1-9.
Direct Link  |  

Yager, R.R. and D.P. Filev, 1994. Generation of fuzzy rules by mountain clustering. J. Intell. Fuzzy Syst.: Applic. Eng. Technol., 2: 209-219.
Direct Link  |  

Zadeh, L.A., 1965. Fuzzy sets. Inform. Control, 8: 338-353.
CrossRef  |  Direct Link  |  

Zarandi, M.F. and P. Ahmadpour, 2009. Fuzzy agent-based expert system for steel making process. Expert Syst. Appl., 36: 9539-9547.
Direct Link  |  

Zarandi, M.H.F., M. Avazbeigi, M.H. Anssari and B. Ganji, 2010. A Multi-Agent Expert System for Steel Grade Classification using Adaptive Neuro Fuzzy Systems. In: Expert Systems, Vizureanu, P. (Ed.). InTech, Rijeka, Croatia, ISBN:978-953-307-032-2, pp: 161-180.