[1] Liao X X. Factor analysis and cluster analysis in environment test theory [J]. Electron. Prod. Reliab.Environ. Test, 2000, 2: 2-10
(廖小雄. 环境试验理论中的因子分析与聚类分析 [J]. 电子产品可靠性与环境试验, 2000, 2: 2-10)
[2] Zhang L W, Wang X H, Feng X H, et al. The environment of atmospheric corrosion and environmental factors fuzzy clustering analyze [J]. J. Chin. Soc. Corros. Prot., 2003, 23(2);112-115
(张伦武, 汪学华, 封先河等. 大气腐蚀环境及环境因素模糊聚类分析 [J]. 中国腐蚀与防护学报, 2003, 23(2): 112-115)
[3] Qu Z Y, Dong Y L, Li C R, et al. Correlation among corrosive factors of atmospheric environment [J]. J. Univ. Sci. Technol.Beijing, 1999, 21(6): 552-555
(屈祖玉, 董玉兰, 李长荣等. 大气环境腐蚀性因素的相关性 [J]. 北京科技大学学报, 1999, 21(6): 552-555)
[4] Zhong Q D, Xie Q M, Zhou G D, et al.Fuzzy cluster analysis method to evaluate for electrochemical in homogeneity of rust preventing oil film [J]. J. Chin. Soc. Corros.Prot., 200, 20(6): 368-373
(钟庆东, 谢巧敏, 周国定等. 模糊聚类分析评价防锈油膜电化学不均匀性 [J].中国腐蚀与防护学报, 2000, 20(6): 368-373)
[5] Wang J, Meng J, Tang X, et al. Assessment of corrosion behavior of steel in deep ocean [J]. J. Chin. Soc. Corros. Prot., 2007, 27(1): 1-7
(王佳, 孟洁, 唐晓等. 深海环境钢材腐蚀行为评价技术 [J]. 中国腐蚀与防护学报, 2007, 27(1): 1-7)
[6] Song S Z, Wang G Y, Wang S Y.Proceeding of research on national natural environmental corrosion data processing [J]. J. Chin. Soc. Corros. Prot., 2003, 23(1); 56-64
(宋诗哲, 王光雍, 王守琰. 我国材料自然环境腐蚀数据处理研究进展 [J]. 中国腐蚀与防护学报, 2003, 23(1): 56-64)
[7] Li X G, Fu D M, Dong C F. Artificial neural network technology for the data processing of high temperature sulfur corrosion [J]. J. Chin. Soc. Corros. Prot.,2001, 21(2): 76-81
(李小刚, 付冬梅, 董超芳. 神经网络分析在高温硫腐蚀中的应用 [J].中国腐蚀与防护学报, 2001, 21(2): 76-81)
[8] Zhu X R, Zhang Q F. Study on dependence of seawater corrosivity on environmental factors by grey relational space analysis [J]. J. Chin. Soc. Corros. Prot., 2000,20(1): 29-34
(朱相荣, 张启富. 灰关联分析法探讨环境因素与海水腐蚀性的关系 [J].中国腐蚀与防护学报, 2000, 20(1): 29-34)
[9] Tang Q H. The effects of chemical composition to the atmospheric corrosion of steel-gained from grey clustering analysis [J]. J. Chin. Soc. Corros. Prot., 2003,23(4): 239-242
(唐其环. 从灰色聚类结果看化学成分对钢大气腐蚀的影响 [J]. 中国腐蚀与防护学报, 2003, 23(4): 239-242)
[10] Wu J W, Li M, Li X G. Artificial neural network (ANN) analysis on carbon dioxide corrosion [J]. J.Chin. Soc. Corros. Prot., 2003, 23(1): 26-29
(武俊伟, 李明, 李小刚. CO$_2$腐蚀的神经网络分析 [J]. 中国腐蚀与防护学报,2003, 23(1): 26-29)
[11] Wang X J, Feng J X. Research on the alloy feed regression model based on principal components analysis [J]. Ordnance Mater. Sci. Eng., 2008, 31(3): 42-45
(王希娟, 冯京晓. 基于主成分分析的合金加料回归模型的研究 [J]. 兵器材料科学与工程, 2008, 31(3): 42-45)
[12] Zou H M, Jiang L F, Li F R.Water quality evaluation method based on principal component analysis[J]. Math. Pract. Theory, 2008, 38(8): 85-90
(邹海明, 蒋良富, 李粉茹. 基于主成分分析的水质评价方法 [J]. 数学的实践与认识, 2008, 38(8): 85-90)
[13] Wang Z Y, Chen L E. PCA$^\prime$s application study on force made of the influence factor in coagulation [J]. Math. Pract. Theory, 2008, 38(10): 26-30
(王振友, 陈莉娥. 主分量分析法在影响因子赋权中的应用 [J]. 数学的实践与认识, 2008, 38(10): 26-30)
[14] Liu X Q, Tang X, Wang J. Correlation between seawater environmental factors and marine corrosion rate using artificial neural network analysis [J]. J. Chin. Soc. Corros.Prot., 2005, 25(1): 11-14
(刘学庆, 唐晓, 王佳. 3C钢腐蚀速度与海水环境参数关系的人工神经网络分析[J]. 中国腐蚀与防护学报, 2005, 25(1): \linebreak11-14)
[15] Wang H T, Han E H, Ke W. Predictive model for atmospheric corrosion of aluminum alloy by artificial neural network [J]. J. Chin. Soc. Corros. Prot.,2006, 26(5): 272-275
(王海涛, 韩恩厚, 柯伟. 基于人工神经网络模型的铝合金大气腐蚀的预测 [J].中国腐蚀与防护学报, 2006, 26(5): 272-275)
[16] Cui D W, Lin L Y, Zhao Y H. Prediction of corrosion behavior of nonferrous metals in seawater with ANN [J]. J. Chin. Soc. Corros. Prot., 2004, 24(1):29-32
(崔大为, 林乐耘, 赵月红. 应用人工神经网络预测有色金属海水腐蚀的长期行为 [J]. 中国腐蚀与防护学报, 2004, 24(1): 29-32
[17] Wang S Y, Song S Z. Predictive model based on wavelet transformation and artificial neural network for zinc atmospheric corrosion [J]. J.Chin. Soc. Corros. Prot., 2005, 25(5): 57-61
(王守琰, 宋诗哲. 小波分析和神经网络研究纯锌大气腐蚀 [J]. 中国腐蚀与防护学报, 2005, 25(5): 57-61)
[18] Gao Z M, Song S Z, Xu Y H.Electrochemical impedance spectroscopy analysis of coating deterioration process with kohonen neural networks [J] J. Chin. Soc.Corros. Prot., 2005, 25(2): 106-109
(高志明, 宋诗哲, 徐云海. 涂层失效过程电化学阻抗谱的神经网络分析 [J] .中国腐蚀与防护学报, 2005, 25(5): 106-109)
[19] Tan X M, Chen Y L, Mu Z T, et al. Prediction model for corrosion of aluminum alloys based on artificial neural network and analysis of the precision [J].J. Chin. Soc. Corros. Prot., 2004, 24(4): 218-221
(谭晓明, 陈跃良, 穆志韬等. 基于人工神经网络的铝合金腐蚀预测及其精度分析 [J]. 中国腐蚀与防护学报, 2004, 24(4): 218-221)
[20] Zhang J H, Zou L R. Principal component analysis in the technical evaluation of progress [J]. Eval. Predict., 2004, 5:32-33
(俊华, 邹礼瑞. 主成分分析法在技术进步评价中的应用 [J]. 评价与预测, 2004,5: 32-33)
[21] Kong D Y, Wang S Y, Song S Z. Study on relativity between corrosion images and data of metallic samples in seawater [J]. J. Chin. Soc. Corros. Prot., 2001, 21(6): 252-256
(孔德英, 王守琰, 宋诗哲. 金属材料腐蚀形貌图像与实海挂片数据的相关性研究 [J]. 中国腐蚀与防护学报, 2001, 21(4): 252-256)
[22] Chen Y L, Yang X H, Lv G Z. Comparative study of quantitative predictive method of corrosion damage for engineering components [J]. J. Chin.Soc. Corros. Prot., 2003, 23(1): 52-55
(陈跃良, 杨晓华, 吕国志. 结构腐蚀损伤定量预测方法对比研究 [J]. 中国腐蚀与防护学报, 2003, 23(1): 52-55)
[23] Dou J F, Zou Z Y. Application of principal component analysis method in comprehensive assessment of atmospheric environmental quality [J]. Chongqing Environ. Sci., 2001, 23(2): 32-33
(豆峻峰, 邹振扬. 主成分分析法在大气环境质量综合评价中的应用 [J]. 重庆环境科学, 2001, 23(2): 32-33)
[24] Zhu J W. Principal component analysis in the evaluation of operational effectiveness of the application [J]. Bus. Adm., 2004, 7: 41-42
(朱金伟. 主成分分析法在经济效益评价中的应用 [J]. 金融与经济, 2004, 7:41-42)
[25] Cheng R, Wang H T. The principal component analysis of marketing factors [J]. J. Hefei Univ., 2004,14(1): 18-22
(陈蕊, 王华统. 营销因素的主成分分析 [J]. 合肥学院学报, 2004, 14(1): 18-22)
[26] Liu S Z. Mathematical Statistical Theory, Methods, Applicationsand Computing Software [M]. Wuhan: Press of Huazhong University of Science and Technology, 2005: 165-170
(刘顺忠. 数理统计理论、方法、应用和软件计算 [M]. 武汉: 华中科技大学出版社, 2005: 165-170)
[27] Su S, Zhao J X. Application of principalcomponent analysis on workable competition evaluation [J]. J.Chongqing Univ., 2006, 29(5): 150-154
(苏素, 赵金秀. 主成分分析法在产业有效竞争量化评价中的应用 [J]. 重庆大学学报, 2006, 29(5): 150-154) |