[1] CROWTHER R H,PITRAK J E,PLYEN.Computer control at american oil[J].Chemical Engineering Process,1961,57(6):183-186. [2] 王聃,方利国.神经网络在化工应用中的研究进展[J].广东化工,2007,34(10):52-55. [3] 冉清,刘莹.人工神经网络及其在化工领域中的应用[J].广东化工,2001,29(2):32-34. [4] HAGAN M T、,DEMUTH H B,DEALE M H.神经网络设计[M]戴葵等译.北京:机械工业出版社,2002:5-8. [5] HINTON G E,SALAKHUTDINOV R R.Reducing the dimensionality of data with neural networks[J].Science,2006,313(5786):504-507. [6] KRIZHEVSKY A,SUTSKEVER I,HINTON G E.Image net classification with deep convolutional neural networks[C]//Advances in Neural Information Processing Systems,2012,25(2):1105-1114. [7] ALESSANDRO L,GIANLUCA P,PIERRE B.Deep architectures and deep learning in chemoinformatics:the prediction of aqueous solubility for drug-like molecules[J].Journal of Chemical Information and Modeling,2013,53(7):1563-1575. [8] 张文达,许悦雷,倪嘉成,等.基于多尺度分块卷积神经网络的图像目标识别算法[J].计算机应用,2016,36(4):1033-1038. [9] SCHMIDHUBER J,MEIER U,CIRESAN D.Multi-column deep neural networks for image classification[C]//IEEE Conference on Computer Vision and Pattern Recognition,2012,157(10):3642-3649. [10] 黄道,宋欣.神经网络在化工过程故障诊断中的应用[J].控制工程,2006,13(1):6-9. [11] DOWNS J J,VOGEL E F.A plant-wide industrial process control problem[J].Computers&Chemical Engineering,1993,17(3):245-255. [12] WATANABE K,HIROTA S,HOU L,et al.Diagnosis of multiple simultaneous fault via hierarchical artificial neural networks[J].AIChE Journal,1994,40(5):839-848. [13] 谷雷.基于人工神经网络的化工过程故障诊断[D].沈阳:沈阳理工大学,2008:22-36. [14] 谷雷,杨青,王大志.概率神经网络在化工过程故障检测中的应用[J].控制工程,2008,15(s1):128-130. [15] 张卫华,吴重光,等.基于神经网络的化工过程故障诊断[J].计算机与应用化学,2010,27(7):987-991. [16] 缪素云.基于人工神经网络的TE过程故障诊断与检测研究[D].哈尔滨:哈尔滨理工大学,2011:38-45. [17] KUMAR A,SINGH A P.Transistor level fault diagnosis in digital circuits using artificial neural network[J].Measurement,2016,82:384-390. [18] AIRIKKA P.Advanced control methods for industrial process control[J].Computing and Control Engineering Journal,2004,15(3),18-23. [19] PIOVOSO M J.Industrial process control[J].IEEE Control Systems,2000,20(3):22-24. [20] JAMES L,MCCLELLAND.Parallel distributed processing[M].The PDP Research Group:The MIT Press,1987:45-623. [21] GOH C J,EDWARDS N J,ZOMAYA A Y.Feedback control of minimum time optimal control problems using neural networks[J].Optimal Control Applications&Methods,1993,14(1):1-16. [22] 裴浩东.基于神经网络的稳态优化和控制研究[D].杭州:浙江大学,2001:1-8. [23] CHEN Q,WEIGAND W A.Dynamic optimization of nonlinear processes by combining neural net model with UDMC[J].AIChE Journal,2004,40(9):1488-1497. [24] 夏静.基于广义回归神经网络的工业过程优化建模[D].哈尔滨:哈尔滨理工大学,2009:1-27. [25] 安爱民.基于预测控制的先进过程控制技术研究[D].兰州:兰州理工大学,2010:1-14. [26] ARCOTUMAPATHY V,SIAHVASHI A,ADESINA A A.A new weighted optimal combination of ANNs for catalyst design and reactor operation:methane steam reforming studies[J].AIChE Journal,2012,58(8):2412-2427. [27] CARTWRIGHT H,CURTEANU S.Neural networks applied in chemistry.Ⅱ.Neuro-evolutionary techniques in process modeling and optimization[J].Industrial&Engineering Chemistry Research,2013,52(36):12673-12688. [28] AHMED D F.Artificial neural network control of chemical processes[J].Uotechnology.edu.iq,2014,32-a(1):176-196. [29] 郭凯,郭奇,李大伟,等.模糊神经网络PID控制器设计及在常减压装置中的应用[J].自动化应用,2016(2):14-15. [30] 任有志,杨亚威,等.BP神经网络PID控制器在聚合釜温控中的应用[J].现代化工,2016,36(2):165-167. [31] TSEN Y D,SHI S J,WONG D S H,et al.Predictive control of quality in batch polymerization using hybrid ANN models[J].AIChE Journal,1996,42(2):455-465. [32] 李圭贤,宋桂秋,张东,等.BP神经网络法在产品质量预测中的应用[J].东北大学学报(自然科学版),2001,22(6):682-684. [33] 郑唯唯.过程质量控制智能化体系与方法研究[D].西安:西北工业大学管理学院,2006:28-77. [34] 程红军.基于神经网络的多元质量控制与诊断技术研究[D].天津:天津大学,2008:49-61. [35] 杨明莉.基于人工神经网络的软件质量预测模型研究[D].长春:吉林工商学院信息工程学院,2013:1-4. [36] 朱鹏飞,夏陆岳,潘海天.基于软测量技术的间歇聚合过程质量控制[J].计算机与应用化学,2015,32(8):959-963. [37] 李鹏霞,陈晶,周喜斌,等.定量结构-性质/活性关系在分析和环境化学中的进展及应用[J].分析科学学报,2011,27(2):241-245. [38] 潘勇,蒋军成,曹洪印,等.基于神经网络的定量结构-性质相关性研究预测有机物燃烧特性[J].化工进展,2008,27(3):378-384. [39] 何琴,李靖.人工神经网络用于氯代芳烃定量结构-活性关系研究[J].河北化工,2012,35(9):28-31. [40] 何琴,黄保军.人工神经网络用于有机磷酸酯类定量结构活性关系研究[J].安徽农业科学,2012,40(4):2087-2089. [41] DONG M,LI G,LI Y,LIU C.The research on slab thermal properties estimated by bp artificial neural networks[C]//ICECE'10 Proceedings of the 2010 International Conference on Electrical and Control Engineering,IEEE Computer Society,Washington D C, USA,2010:2425-2427. [42] 董新法,方利国,陈砺.物性估算原理及计算机计算[M].北京:化学工业出版社,2006:25-30. [43] 张向东,赵立群,张国义.人工神经网络法预测有机物基础物性[J].化工学报,1995,46(1):66-74. [44] 陈海松,王福安,宋建池,等.纯物质汽化热的人工神经网络算法[J].高校化学工程报,1998,12(4):475-478. [45] 旷戈,赵素英,赵之山,等.人工神经网络基团贡献法估算纯有机物的临界参数[J].计算机与应用化学,2001,18(4):396-399. [46] 旷戈,邱挺,赵之山,等.基团贡献人工神经网络法估算有机物常压沸点[J].化学工程,2001,29(6):49-51. [47] 贺益君,高华,陈钟秀.基于基团贡献神经网络集成法估算有机物常压凝固点[J].化工学报,2004,55(7):1124-1130. [48] TATLIER M,CIGIZOGLU H K,ERDEM-SENATALAR A.Artificial neural network methods for the estimation of zeolite molar compositions that form from different reaction mixtures[J].Computers&Chemical Engineering,2005,30(1):137-146. [49] 潘勇,蒋军成.人工神经网络基团贡献法预测有机物闪点[J].天然气化工,2007,32(2):67-71. [50] 潘勇,蒋军成,王志荣.人工神经网络基团键贡献法预测烷烃闪点[J].化学工程,2007,35(4):38-41. [51] GHARAGHEIZI F,ESLAMIMANESH A,MOHAMMADI A H,et al.Determination of critical properties and acentric factors of pure compounds using the artificial neural network group contribution algorithm[J].Journal of Chemical&Engineering Data,2011,56(5):2460-2476. [52] MOOSAVI M,SOLTANI N.Prediction of hydrocarbon densities using an artificial neural network-group contribution method up to high temperatures and pressures[J].Thermochimica Acta,2013,556:89-96. [53] KHAZAIEPOUL A,SOLEIMANI M,SALAHI S.Solubility prediction of disperse dyes in supercritical carbon dioxide and ethanol as co-solvent using neural network[J].Chinese Journal of Chemical Engineering,2015,24(4):491-498. [54] 魏奇业,李谦.基于神经网络的精馏塔动态模拟[J].吉林化工学院学报,2004,21(1):10-15. [55] 张煜东,吴乐南,韦耿.基于粒子群神经网络的细胞图像分割方法[J].电子测量与仪器学报,2009,23(7):56-62. [56] 张煜东,吴乐南,韦耿.神经网络泛化增强技术研究[J].科学技术与工程,2009,9(17):4997-5002. [57] 张煜东,吴乐南,吴含前.工程优化问题中神经网络与进化算法的比较[J].计算机工程与应用,2009,45(3):1-6. [58] ZHANG Y D,WU L N,WEI G.A New classifier for Polarimetric SAR images[J].Progress in Electromagnetics Research,2009,94(4):83-104. [59] AMODIO P,PELLEGRINI A,UBIALI E,et al.The EEG assessment of low-grade hepatic encephalopathy:comparison of an artificial neural network-expert system(ANNES) based evaluation with visual EEG readings and EEG spectral analysis[J].Clinical Neurophysiology,2006,117(10):2243-225. [60] VENKAT V,CHAN K.A neural network methodology for process fault diagnosis[J].Industrial&Engineering Chemistry Research,1989,35(12):1993-2002. [61] 张璟,李人厚.实时控制神经网络专家系统结构及推理算法[J].模式识别与人工智能,1995(2):171-178. [62] LIAU C K,YANG C K,TSAI M T.Expert system of a crude oil distillation unit for process optimization using neural networks[J].Expert Systems with Applications,2004,26(2):247-255. [63] 杜文莉,钱峰.基于神经网络的实时专家控制系统及其PTA工业应用[J].控制与决策,2005,20(6):694-697. [64] 郑小霞,钱锋.模糊神经网络推理的实时故障诊断专家系统[J].计算机工程与应用,2006,42(3):226-229. [65] MOTLAGHI S,JALALI F,AHMADABADI M N.An expert system design for a crude oil distillation column with the neural networks model and the process optimization using genetic algorithm framework[J].Expert Systems with Applications,2008,34(4):1540-1545. [66] WANG Y Y,LI Q J,CHANG M,et al.Research on fault diagnosis expert system based on the neural network and the fault tree technology[J].Procedia Engineering,2012,31(16):1206-1210. [67] 辛志斌.基于聚类分析的神经网络-模糊控制[D].太原:太原理工大学,2003:1-37. [68] 钟旭.ART2神经网络与化学模式聚类分析的研究[D].杭州:浙江大学,2004:1-62. [69] 周洋,余文武,董相娟,等.基于聚类分析和神经网络的高炉焦比预测模型[J].辽宁科技大学学报,2010,33(3):245-247. [70] 胡曙.基于模糊与神经网络的聚类分析[D].昆明:昆明理工大学,2012:1-54. [71] 杨红波,郑剑.基于改进聚类分析的神经网络集成方法应用研究[J].计算机工程与科学,2015,37(5):974-978. |