[1] 黎维彬,龚浩. 催化燃烧去除VOCs污染物的最新进展[J]. 物理化学学报,2010,26(4):885-894. LI W B, GONG H. Recent progress in the removal of volatile organic compounds by catalytic combustion[J]. Acta Physico-Chimica Sinica,2010,26(4):885-894. [2] ANFRUNS A, GARCIA-SUAREZ E J, MONTES-MORAN M A, et al. New insights into the influence of activated carbon surface oxygen groups on H2O2 decomposition and oxidation of pre-adsorbed volatile organic compounds[J]. Carbon,2014,77:89-98. [3] 蒋剑春,王志高,邓先伦,等. 丁烷吸附用颗粒活性炭的制备研究[J]. 林产化学与工业,2005,25(3):5-8. JIANG J C, WANG Z G, DENG X L, et al. Study on preparation of granular activated carbon for n-butane adsorption[J]. Chemistry and Industry of Forest Products,2005,25(3):5-8. [4] 张晓东,王吟,杨一琼,等. 介孔硅材料及其负载型催化剂去除挥发性有机物的最新进展[J]. 物理化学学报,2015,31(9):1633-1646. ZHANG X D, WANG Y, YANG Y Q, et al. Recent progress in the removal of volatile organic compounds by mesoporous silica materials and supported catalysts[J]. Acta Physico-Chimica Sinica,2015,31(9):1633-1646. [5] 卢晗锋,周春何,周瑛,等. 气相低浓度甲苯在超稳Y分子筛的吸附-脱附性能[J]. 高校化学工程学报,2012,26(2):338-343. LU H F, ZHOU C H, ZHOU Y, et al. Adsorption-desorption of toluene in gas phase on dealuminated ultrastable Y zeolites[J]. Journal of Chemical Engineering of Chinese Universities,2012,26(2):338-343. [6] 杨榛,顾幸生,梁晓怿,等. 基于PCA-GA神经网络模式识别的炭纤维复合材料导电综合性能优化及预测的研究[J]. 计算机与应用化学,2008,25(12):1543-1548. YANG Z, GU X S, LIANG X Y, et al. Optimization and prediction research on carbon fiber composite integrated conductive performance based on PCA-GANN pattern recognition[J]. Computers and Applied Chemistry,2008,25(12):1543-1548. [7] YANG Z, QIAO W M, LIANG X D. Modelling and optimization of the pore structure of carbon aerogels using an artifical neural network[J]. New Carbon Materials,2017,32(1):77-85. [8] CASCO M E, MARTÍNEZ-ESCANDELL M, KANEKO K, et al. Very high methane uptake on activated carbons prepared from mesophase pitch:A compromise between microporosity and bulk density[J]. Carbon,2015,93:11-21. [9] 孙强. 基于人工神经网络的汽车声品质评价与应用研究[D]. 长春:吉林大学硕士学位论文,2010. SUN Q. Reseach on evaluation and application of vehicle sound quality based on artifical neural network[D]. Changchun:Master Degree Thesis of Jilin University,2010. [10] 苏鑫,裴华健,吴迎亚,等. 应用经遗传算法优化的BP神经网络预测催化裂化装置焦炭产率[J]. 化工进展,2016,35(2):389-396. SU X, PEI H J, WU Y Y, et al. Predicting coke yield of FCC unit using genetic algorithm optimized BP neural network[J]. Chemical Industry and Engineering Progress,2016,35(2):389-396. |