[1] H. El-Hofy, Advanced machining processes. McGraw-Hill, New York, (2005).
[2] X. Fang, N. Qu, Y Zhang, Z. Xu and D. Zhu, “Improvement of hole exit accuracy in electrochemical drilling by applying a potential difference between an auxiliary electrode and the anode”, Journal of Materials Processing Technology, Vol. 214, No. 3, pp. 556-564, (2014)
[3] W. Wang, D. Zhu, N. S. Qu, S. F. Huang and X. L. Fang, “Electrochemical drilling with vacuum extraction of electrolyte”, Journal of Materials Processing Technology, Vol. 210, No. 2, pp. 238-244, (2010).
[4] D. Zhu, W. Wang, X. L. Fang, N. S. Qu and Z. Y. Xu, “Electrochemical drilling of multiple holes with electrolyte-extraction”, CIRP Annals - Manufacturing Technology, Vol. 59, No.1, pp. 239-242, (2010).
[5] W. Wang, D. Zhu, N. S. Qu, S. F. Huang and X. L. Fang, “Electrochemical drilling inclined holes using wedged electrodes”, Int. J. Adv. Manuf. Technol., Vol. 47, No. 11, pp. 29-1136, (2010).
[6] Z. W. Fan and L. W. Hourng, “Electrochemical micro-drilling of deep holes by rotational cathode tools”, Int. J. Adv. Manuf. Technol., Vol. 52, No. 5-8, pp. 555-563, (2011).
[7] Z. W. Fan, L. W. Hourng and M. Y. Lin, “Experimental investigation on the influence of electrochemical micro-drilling by short pulsed voltage”, Int. J. Adv. Manuf. Technol., Vol. 61, No. 9-12, pp. 957-966, (2012).
[8] M. A. H. Mithu, G. Fantoni and J. Ciampi, “The effect of high frequency and duty cycle in electrochemical microdrilling”, Int. J. Adv. Manuf. Technol., Vol. 55, No. 9-12, pp. 921-933, (2011).
[9] H. P. Tsui, Hung, J. C. You and B. H. Yan, “Improvement of electrochemical microdrilling accuracy using helical tool”, Materials and Manufacturing Processes, Vol. 23, No. 5, pp. 499-505, (2008).
[10] Y. Liu and S. F. Huang, “Experimental Study on Electrochemical Drilling of Micro Holes with High Aspect Ratio”, Advanced Materials Research, Vol. 941-944, pp. 1952-1955, (2014).
[11] S. Zare Chavoshi, “Analysis and predictive modeling of performance parameters in electrochemical drilling process”, Int. J. Adv. Manuf. Technol., Vol. 53, No. 9-12, pp. 1081-1101, (2011).
[12] S. Zare Chavoshi and M. Tajdari, “Surface roughness modelling in hard turning operation of AISI 4140 using CBN cutting tool”, Int. J. Mater Form, Vol. 3, No. 4, pp. 233-239, (2010).
[13] M. R. Soleymani Yazdi and S. Zare Chavoshi, “Analysis and estimation of state variables in CNC face milling of AL6061”, Prod. Eng. Res. Devel., Vol. 4, No. 6, pp. 535-543, (2010).
[14] V. S. Sharma et al, “Estimation of cutting forces and surface roughness for hard turning using neural networks”, J. Intell. Manuf., Vol. 19, No. 4, pp. 473-483, (2008).
[15] B. R. Sarkar, B. Doloi and B. Bhattacharyya, “Parametric analysis on electrochemical discharge machining of silicon nitride ceramics”, Int. J. Adv. Manuf. Technol., Vol. 28, No. 9-10, pp. 873-881, (2006).
[16] D. S. Bilgi et al, “Predicting radial overcut in deep holes drilled by shaped tube electrochemical machining”, Int. J. Adv. Manuf .Technol., Vol. 39, No. 1-2, pp. 47-54, (2008).
[17] Z. Uros, C. Frank and K. Edi, “Adaptive network based inference system for estimation of flank wear in end-milling”, Journal of materials processing technology, Vol. 209, No. 3, pp. 1504-1511, (2009).
[18] U. Caydas, A. Hascalik and S. Ekici, “An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM”, Expert Systems with Applications, Vol. 36, No. 3, pp. 6135-6139, (2009).
[19] J. Antony, “Design of Experiments for Engineers and Scientists”, Elsevier Science & Technology Books, ISBN: 0750647094, (2003).
[20] R. Venkata Rao, “Advanced Modeling and Optimization of Manufacturing Processes”, Springer, (2011).
[21] M. S. Chen, “Analysis and design of the multi-layer perceptron using polynomial basis functions”, Doctor of philosophy thesis, The University of Texas at Arlington, (1991).
[22] C. C. Klimasauskas, “Neural Computing. Neural- Ware”, Pittsburgh, (1991).
[23] A. Schmidt, “A modular neural network architecture with additional generalization abilities for high dimensional input vectors”, Master of Science thesis, Manchester Metropolitan University, (1996).
[24] K. B. Khanchandani and M. A. Hussain, “Emotion recognition using multilayer perceptron and generalized feed forward neural network”, Journal of scientific and industrial research, Vol. 68, pp. 367-371, (2009).
[25] X. Li, X. Guan, Y. Li and A. Hybrid “Radial Basis Function Neural Network for Dimensional Error Prediction in End Milling”, ISNN 2004, LNCS 3174, pp. 743-748, (2004).
[26] N. Q. Dinh and N. V. Afzulpurkar, “Neuro-fuzzy MIMO nonlinear control for ceramic roller kiln”, Simulation Modelling Practice and Theory, Vol. 15, No. 10, pp. 1239-1258, (2007).
[27] J. S. Pan, S. M. Chen and N. T. Nguyen, “Intelligent Information and Database Systems, 4th Asian Conference”, ACIIDS Kaohsiung, Taiwan, March 19-21, 201 Proceedings, Part III, (2012).
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