**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**33017

##### Using Combination of Optimized Recurrent Neural Network with Design of Experiments and Regression for Control Chart Forecasting

**Authors:**
R. Behmanesh,
I. Rahimi

**Abstract:**

**Keywords:**
RNN,
DOE,
regression,
control chart.

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1079164

**References:**

[1] D. MONTGOMERY, "Control estad├¡stico de la calidad", 2004, 3rd Ed. Limusa Wiley, Mexico, pp.797.

[2] J. A. Vazquez-Lopez, I. Lopez-Juarez, M. Pe├▒a-Cabrera, " On the Use of the Fuzzy ARTMAP Neural Network for Pattern Recognition in Statistical Process Control using a Factorial Design ", Int. J. of Computers, Communications & Control, ISSN 1841-9836, Vol. V (2010), No. 2, pp. 205-215.

[3] A.J. MORRIS, G.A. MONTAGUE, M.J. WILLIS, "Artificial neural networks : studies in process modeling and control", 1994, Chem. Eng. Res. Des. 72(A1), pp. 3-19.

[4] D.F. COOK, C.T. RAGSDALE, R.L. MAJOR, "Combining a neural network with a genetic algorithm for process parameter optimization", 2000, Eng.Appl.Artif. Intell. 13, pp. 391-396.

[5] L.R. MedsKer, L.C. Jain, "Recurrent Neural Networks : Design and Application", CRC Press, Boca Raton London New York Washington, D.C., 2001.

[6] L.G. Esteban, F. Garc├¡a Fern├índez, P. de Palacios, M. Conde, "Artificial neural networks in variable process control: application in particleboard manufacture", Sistemas y Recursos Forestales 2009 18(1), pp. 92-100.

[7] D.F. COOK, C.C. CHIU, "Predicting the internal bond strength of particleboard: utilizing a radial basis function neural network", 1997, Eng. Appl. Artif. Intell. 10 (2), pp. 171-177.

[8] S. MALINOV, W. SHA, J.J. MCKEOWN, "Modelling the correlation between processing parameters and properties in titanium alloys using artificial neural network", 2001, Comput. Mater. Sci. 21, pp. 375-394.

[9] W. Laosiritaworn, N. Chotchaithanakorn, "Artificial Neural Networks Parameters Optimization with Design of Experiments: An Application in Ferromagnetic Materials Modeling", Chiang Mai J. Sci. 2009; 36(1), pp.83-91.

[10] M.S. Packianather, P.R. Drake, H. Rowland, "Optimizing the Parameters of Multilayered Feed Forward Neural Networks through Taguchi Design of Experiments", Qual. Reliab. Eng. Int., 2000; 16: pp. 461-473.