[1] [1] Feng Shurong, Zhang Shuquan, Wang Huaming. Wear resistance of laser clad hard particles reinforced intermetallic composite coating on TA15 alloy[J]. Chinese J Lasers, 2012, 39(2): 0203002.

[2] [2] Wang Dongsheng, Tian Zongjun, Shen Lida, et al.. Research development of nanostructured coatings prepared by laser cladding[J]. Chinese J Lasers, 2008, 35(11): 1698-1709.

[3] [3] T M Yue, Y P Su. Laser multi-layer cladding of Zr65Al7.5Ni10Cu17.5 amorphous alloy on magnesium substrates[J]. J Materials Science, 2007, 42(15): 6153-6160.

[4] [4] Wu Peigui, Zhang Guangjun. Status and development of multi-layer laser cladding technology[J]. J Shanghai University of Engineering Science, 2009, 23(4): 374-378.

[5] [5] Huang Anguo, Li Gang, Wang Yongyang, et al.. Prediction of characteristic and performance of laser cladding for Al alloy based on artificial neural network[J]. Chinese J Lasers, 2008, 35(10): 1632-1636.

[6] [6] Jiang Shujuan, Liu Weijun, Nan Liangliang. Laser cladding height prediction based on neural network[J]. J Mechanical Engineering, 2009, 45(3): 269-274.

[7] [7] Ding Zhouhua, Zheng Qiguang, Tong Xinglin, et al.. Optimizing of laser cladding parameters of Co-based hard alloy coating based on artificial neural networks[J]. J Optoelectronics·Lasers, 2004, 15(3): 352-355.

[8] [8] Ni Libin, Liu Jichang, Wu Yaoting, et al.. Optimization of laser cladding processs variables based on neural network and particle swarm optimization algorithms[J]. Chinese J Lasers, 2011, 38(2): 0203003.

[9] [9] E Toyserkani, A Khajepour, S Corbin. Application of experimental-based modeling to laser cladding[J]. J Laser Application, 2002, 14(3): 165-173.

[10] [10] M Alimardani, E Toyserkani. Prediction of laser solid freeform fabrication using neuro-fuzzy method[J]. Applied Soft Computing Journal, 2008, 8(1): 316-323.

[11] [11] Yang Donghui, Ma Liang, Huang Weidong. Component′s surface quality predictions by laser rapid forming based on artificial neural networks[J]. Chinese J Lasers, 2011, 38(8): 0803004.

[12] [12] Zhang Cheng, Wang Xiao, Wang Kai, et al.. Optimization of weld strength for laser transmission welding of thermoplastic based on response surface methodology and genetic algorithm-artificial neural network[J]. Chinese J Lasers, 2011, 38(11): 1103006.

[13] [13] Zhang Jian, Yang Rui. Weld penetration depth prediction of pulsed laser welding titanium alloy thin plate[J]. Chinese J Lasers, 2012, 39(3): 0303001.

[14] [14] R J Wang, X H Li, Q D Wu, et al.. Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm[J]. International J Advanced Manufacturing Technology, 2009, 42(11/12): 1035-1042.

[15] [15] Y W Park, S Rhee. Process modeling and parameter optimization using neural network and genetic algorithms for aluminum laser welding automation[J]. International J Advanced Manufacturing Technology, 2008, 37(9/10): 1014-1021.

[16] [16] Liu Yun, Xu De, Tan Min. A genetic algorithm based artificial neural network approach for parameter selection of laser cutting[J]. Manufacturing Automation, 2006, 28(12): 20-22.

[17] [17] Zhang Lianbao, Fan Qingwu, Zuo Yansheng, et al.. The appliance of mixed intelligent technique to optimization of procedure parameter of laser surface quenching[J]. Materials Science & Technology, 2004, 12(6): 654-657.

[18] [18] Pan Qingyue, Song Renguo, Zhang Qizhi, et al.. On optimization of laser surface melting technology for 1Cr18Ni9Ti steel based upon artificial neural[J]. Chinese J Materials Research, 1998, 12(3): 251-256.

[19] [19] Xu Dapeng, Zhou Jianzhong, Guo Huafeng, et al.. Quality prediction of laser cladding layer based on improved neural network[J]. Laser Technology, 2007, 31(5): 511-514.

[20] [20] Wang Dongsheng, Zhou Xinhua. A New Preparation Method of Nanostructured Thick Ceramic Coating by Laser Multi-Layer Cladding[P]. China, Patent of Invention: 201110364330.5.

[21] [21] Wang Dongsheng, Tian Zongjun, Wang Jingwen, et al.. Experimental research on preparation of thick ceramic coating by laser multi-layer cladding[J]. Transactions of the China Welding Institution, 2012, 33(5): 67-70.

[22] [22] Wang Dongsheng, Tian Zongjun, Duan Zongyin, et al.. Bonding strength of thick nanostructured ceramic coating by squash presetting type laser multi-layer cladding[J]. Chinese J Lasers, 2012, 39(2): 0203003.

[23] [23] Wang Dongsheng, Tian Zongjun, Zhang Shaowu, et al.. Process parameters optimization of nanostructured ceramic coating by laser multi-layer cladding[J]. Materials Protection, 2012, 45(2): 67-70.

[24] [24] Zhu Jianying. Intelligent System Non-Classical Mathematical Methods[M]. Wuhan: Huazhong University of Science and Technology Press, 2001.

[25] [25] Shi Feng, Wang Hui, Yu Lei, et al.. 30 Cases Analysis of MATLAB Intelligent Algorithm[M]. Beijing: Beijing University of Aeronautics and Astronautics Press, 2011. 28-31.

[26] [26] Wang Xiao, Zhang Cheng, Wang Kai, et al.. Multi-objective optimization of laser transmission welding of polycarbonate process based on genetic algorithm-response suface methodology[J]. Chinese J Lasers, 2012, 39(6): 0603003.