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[1]Chang, F.J., et al., 2003, Theory and practice of neural network, Tung-Hwa Pub. Co., Taipei. [2]Glover, F., et al., 1997, Tabu Search, Kluwer Academic, Boston. [3]Li, Y.C., et al., 2004, Fuzzy theory and its application, Cheng-Hwa Pub. Co., Taipei. [4]Mehmed Kantardzic, Data Mining-Concepts, Models, Methods, and Algorithms”, A John Wiley & Sons, INC., U.S.A. [5]Choi, G. H., Lee, K. D., Chang N., Kim, S.G., 1994, “Optimization of Process Parameters of Injection Molding with Neural Network Application in a Process Simulation Environment”, Annals of the CIRP, Vol. 43, pp.449-452. [6]Glover, F., 1989, “Tabu search – Part I”, Operations Research Society of America Journal on Computing, Vol 1, No.3, pp.190-206. [7]Glover, F., 1990, “Tabu search – Part II”, Operations Research Society of America Journal on Computing, Vol 2, No.1, pp.4-32. [8]Hansen, P., Mladenovic, N., 1997, “Variable neighborhood search”, Computers Ops Res., Vol. 24, No. 11, pp.1097-1100. [9]Hansen, P., Mladenovic, N., 1999, “Variable neighborhood search: Principles and applications”, European Journal of Operation Research 130, pp.449-467. [10]Kenig, S., Ben-David, A., Omer, M., Sadeh, A., 2001, “Control of properties in injection molding by neural networks”, Engineering Application of Artificial Intelligence 14, pp.819-823. [11]Kim, D., Rhee, S., 2002, “Design of a robust fuzzy controller for the arc stability of CO2 welding process using the Taguchi method”, IEEE, Trans. on Systems, Man, and Cybernetics-Part B: Cybernetics, Vol. 32, No. 2, pp.157-162. [12]Lau, H.C.W., Ning, A., Pun, K.F., Chin, K.S., 2000, “Neural networks for the dimensional control of molded parts based on a reverse process model”, Journal of Materials Processing Technology 117, pp.89-96. [13]Lau, H.C.W., Wong, T.T., Pun, K.F., 1999, “Neural-fuzzy modeling of plastic injection molding machine for intelligent control”, Expert Systems with Application 17, pp.33-43. [14]Mok, S.L., Kwong, C.K., 2002, “Application of artificial neural network and fuzzy logic in a case-based system for initial process parameter setting of injection molding”, Journal of Intelligent Manufacturing 13, pp.165-176. [15]Perez, J., Marcos, J., Martin, I., 2003, “Variable neighborhood tabu search and its application to the median cycle problem”, European Journal of Operation Research 151, pp.365-378. [16]Vagelatos, G.A., Rigatos, G.G., Tzafestas, S.G., 2001, “Incremental fuzzy supervisory controller design for optimizing the injection molding process”, Expert Systems with Application 20, pp.207-216. [17]Chen, J.S., 1995, The optimal manufacturing process design of injection molds using expert system technology, National Cheng Kung University, Master Thesis. [18]Chou, T., 1996, The fault diagnosis fuzzy expert system on an injection molding machine, National Chung Cheng University, Master Thesis. [19]Hsu, H.S., 1996, Injection molding expert system, Chung Yuan Christian University, Master Thesis. [20]Kuo, J.T., 1995, The development of the fault diagnosis and monitoring expert system for injection molding process, National Chung Cheng University, Master Thesis. [21]Li, Y.C., 2002, Structuring and analysis of the injection molding process for the neural network-using the Taguchi method, National Taiwan University of Science and Technology, Master Thesis. [22]Tzeng, K.H., Lin, N., 2003, Data mining technology application to injection molding, TamKang University, Master Thesis. [23]Yang, J.C., 2002, Prediction of optimal machining parameters of injection molding machine, National Taiwan University of Science and Technology, Master Thesis.
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