ANN-Based Hybrid Algorithm Supporting Composition Control of Casting Slip in Manufacture of Ceramic Insulators

1. Burduk, A.: The role of artificial neural network models in ensuring the stability of systems. In.: 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol. 368, pp. 427–437. Springer (2015)

   Google Scholar 

2. Carbajal, L., Rubio-Marcos, A., Bengochea, M.A., Fernandez, J.F.: Properties related phase evolution in porcelain ceramics. J. Eur. Ceram. Soc. 27(13–15), 4065–4069 (2007). Elsevier

   Article  Google Scholar 

3. Carbajal, L., Rubio-Marcos, F., Bengochea, M., Fernandez, J.: Properties related phase evolution in porcelain ceramics. J. Eur. Ceram. Soc. 27, 4065–4069 (2007). Elsevier

   Article  Google Scholar 

4. Carty, W., Senapati, U.: Porcelain—raw materials, processing, phase evolution, and mechanical behavior. J. Am. Ceram. Soc. 81(1), 3–20 (1998). Wiley

   Article  Google Scholar 

5. Cavalcante, T., Dondi, P.M., Ercolani, M., Guarini, G., Melandri, G., Raimondo, M.: The infuence of microstructure on the performance of white porcelain stoneware. Ceram. Int. 30(6), 953–963 (2004). Elsevier

   Article  Google Scholar 

6. Fukushima, M., Yoshizawa, Y.: Fabrication and morphology control of highly porous mullite thermal insulators prepared by gelation freezing route. J. Eur. Ceram. Soc. 36(12), 2947–2953 (2015). Elsevier

   Article  Google Scholar 

7. Grabowik, C., Krenczyk, D., Kalinowski, K.: The hybrid method of knowledge representation in a CAPP knowledge based system. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, S.-B. (eds.) HAIS 2012, Part II. LNCS, vol. 7209, pp. 284–295. Springer, Heidelberg (2012)

   Chapter  Google Scholar 

8. Islam, R., Chan, Y., Islam, F.: Structure–property relationship in high-tension ceramic insulator fired at high temperature. Mater. Sci. Eng., B 106, 132–140 (2004). Elsevier

   Article  Google Scholar 

9. Kahraman, C., Yanik, S.: Intelligent Decision Making in Quality Management. Theory and Applications. Springer, Switzerland (2015)

   Google Scholar 

10. Menéndez, F., Gómez, A., Voces, F., García, V.: Porcelain insulators in electrostatic precipitator. J. Electrostat. 76, 188–193 (2015). Elsevier

    Article  Google Scholar 

11. Partyka, J., Gajek, M., Gasek, K., Lis, J.: Effect of alumina grain size distribution on mechanical properties and microstructure of the alumina porcelain type 130. Ceram. Mater. 65(3), 283–289 (2013). Poland

    Google Scholar 

12. Reddy, S., Verma, R.: Novel technique for electric stress reduction across ceramic disc insulators used in UHV AC and DC transmission systems. Appl. Energy. Elsevier (2016)

    Google Scholar 

13. Schwarz, G.: Estimating the dimension of a model. Ann. Stat. 6(2), 461–464 (1978)

    Article  MathSciNet  MATH  Google Scholar 

14. Segall, R.: Some mathematical and computer modelling of neural networks. Appl. Math. Model. 19(7), 386–399 (1995)

    Article  MATH  Google Scholar 

15. Tao, L., Baoshan, Z.: Technical and economical comparisons between different kinds of materials and different geometries for electrostatic precipitator insulators. In.: International Society for Electrostatic Precipitation ICESP, Australia (2006)

    Google Scholar 

16. Yegnanarayana, B.: Artificial Neural Networks. PHI Learning Pvt. Ltd., India (2004). p. 280

    Google Scholar 

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