基于人工神经网络激光烧蚀制备PDPhSM基纳米复合薄膜聚合效率的预测
[1] . Poly(diarylsilmethylene)s. Ⅱ. Thermal and mechanical properties[J]. J. Polym. Sci.-Part B: Polym. Phys., 1996, 34(7): 1317-1326.
[2] . . New synthesis method of poly(diphenylsilylenemethylene) thin films[J]. Chem. Mater., 1998, 10(8): 2047-2049.
[3] . . Fabrication of poly(diphenylsilylenemethylene) and poly(diphenylsiloxane) thin films using fine metal particles[J]. Chem. Mater., 1999, 11(2): 358-366.
[4] . Compagnini, A. A. Scalisi, O. Puglisi et al.. Production of gold nanoparticles by laser ablation in liquid alkanes[J]. J. Appl. Phys., 2003, 94(12): 7874-7877.
[5] . Ausanio, A. C. Barone, V. Iannotti et al.. Magnetic and morphological characteristics of nickel nanoparticles films produced by femtosecond laser ablation[J]. Appl. Phys. Lett., 2004, 85(18): 4103-4105.
[6] Xu Ning, Li Fuming. Pulsed laser ablation deposition of crystalline ZnSe thin films [J]. Chinese J. Lasers, 2001, A28(7):661~663
许宁,李富铭. 脉冲激光烧蚀沉积ZnSe薄膜的研究[J]. 中国激光, 2001, A28(7):661~663
[9] . Jalham. Modeling capability of the artificial neural network (ANN) topredict the effect of the hot deformation parameters on thestrength of Al-base metal matrix composites[J]. Composites Science and Technology, 2003, 63(1): 63-67.
[10] . Zhang, K. Friedrich. Artificial neural networks applied to polymer composites: a review[J]. Composites Science and Technology, 2003, 63: 2029-2044.
[11] . Are Artificial Neural Networks White Boxes[J]. IEEE Transactions on Neural Networks, 2005, 16: 844-852.
[12] . G. Song, Q. Z. Zhang. Heat treatment technique for 7175 aluminum alloy by an artificial neural networks and genetic algorithm[J]. Jounal of Materials Processing Technology, 2001, 117: 84-88.
[13] . Zhang, K. Friedrich, K. Velten. Prediction on tribological properties of short fibre composites using artificial neural networks[J]. Wear, 2002, 252: 668-675.
[14] R. G. Song, M. Yamaguchi, Q. Nishimura et al.. Effect of laser-ablated copper nanoparticles on polymerization of 1,1,3,3-trtrapheny 1,1,3-disilacyclobutane [J]. Appl. Phys. A: Materials Science & Processing, 2003, 78(1-8):867~875
唐普洪, 宋仁国, 柴国钟, 张奇志. 基于人工神经网络激光烧蚀制备PDPhSM基纳米复合薄膜聚合效率的预测[J]. 中国激光, 2006, 33(7): 953. 唐普洪, 宋仁国, 柴国钟, 张奇志. Prediction of Polymerization Efficiency for PDPhSM Matrix Nanocomposite Thin Film Prepared by Laser Ablation Based on Artificial Neural Networks[J]. Chinese Journal of Lasers, 2006, 33(7): 953.