[1] NAZARI L, YUAN Z S, SANTORO D, et al.Low-temperature thermal pre-treatment of municipal wastewater sludge:Process optimization and effects on solubilization and anaerobic degradation[J].Water Research,2017,3:111-123
[2] HVALA N, VREˇKO D, LEVSTEK M, et al.The use of dynamic mathematical models for improving the designs of upgraded wastewater treatment plants[J].Journal of Sustainable Development of Energy, Water and Environment Systems,2017,5(1):15-31
[3] 李佟, 李军.基于BP 神经网络与马尔可夫链的污水处理厂脱氮效果模拟预测[J].环境科学学报,2016,6(2):576-581
[4] 张晓军, 应启峰, 王洪臣, 等.质量平衡模型及其在污水处理厂节能降耗中的应用[J].环境工程学报,2016,0(3):1030-1034
[5] BUSCH J, ELIXMANN D, KHL P, et al.State estimation for large-scale wastewater treatment plants[J].Water Research,2013,7(13):4774-4787
[6] SANTA C J A, MUSSATI S F, SCENNA N J, et al.Reaction invariant-based reduction of the activated sludge model ASM1 for batch applications[J].Journal of Environmental Chemical Engineering,2016,4(3):3654-3664
[7] ALIKHANI J, TAKACS I, AL-OMARI A, et al.Evaluation of the information content of long-term wastewater characteristics data in relation to activated sludge model parameters[J].Water Science and Technology,2017,5(6):1370-1389
[8] HAMED M M, KHALAFALLAH M G, HASSANIEN E A.Prediction of wastewater treatment plant performance using artificial neural networks[J].Environmental Modelling & Software,2004,9(10):919-928
[9] HONG Y S T, ROSEN M R, BHAMIDIMARRI R.Analysis of a municipal wastewater treatment plant using a neural network-based pattern analysis[J].Water Research,2003,7(7):1608-1618
[10] MJALLI F S, AL-ASHEH S, ALFADALA H E.Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance[J].Journal of Environmental Management,2007,3(3):329-338
[11] ALVANI V, NABIZADEH R, ANSARIZADEH M, et al.Predicting TOC removal efficiency in hybrid biological aerated filter using artificial neural network[J].Desalination and Water Treatment,2016,7(43):20283-20291
[12] ZHAO Y, GUO L, LIANG J B, et al.Seasonal artificial neural network model for water quality prediction via a clustering analysis method in a wastewater treatment plant of China[J].Desalination and Water Treatment,2016,7(8):3452-3465
[13] 韩改堂, 乔俊飞, 韩红桂.基于递归模糊神经网络的污水处理控制方法[J].化工学报,2016,7(3):954-959
[14] 何芳, 徐友宁, 袁汉春.矿山环境地质问题综合评价客观权值确定方法探讨[J].中国地质,2008,5(2):337-343
[15] MIN J H, LEE Y C.Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters[J].Expert Systems with Applications,2005,8(4):603-614
[16] 赖红松.基于支持向量回归机的耕地保有量组合预测[J].地理与地理信息科学,2011,7(2):56-60
[17] 李佳, 张一敏, 刘振宇, 等.基于改进支持向量机的石煤提钒行业清洁生产评价研究[J].环境科学学报,2016,6(3):1113-1120
[18] 秦喜文, 刘媛媛, 王新民, 等.基于整体经验模态分解和支持向量回归的北京市 PM2.5预测[J].吉林大学学报 (地球科学版),2016,6(2):563-568
[19] 张成成, 陈求稳, 徐强, 等.基于支持向量机的太湖梅梁湾叶绿素 a 浓度预测模型[J].环境科学学报,2013,3(10):2856-2861
[20] 张玉, 莫寒, 张烈平.基于模糊支持向量机的光伏发电量预测[J].热力发电,2017,6(1):116-120
[21] 王霞, 王占岐, 金贵, 等.基于核函数支持向量回归机的耕地面积预测[J].农业工程学报,2014,0(4):204-211
[22] VAPNIK V.The Nature of Statistical Learning Theory[M].New York:Springer Science & Business Media,2013
[23] 韦佳, 何世钧, 周汝雁, 等.基于支持向量回归机的南黄海浒苔分布面积预测模型[J].环境工程学报,2015,9(6):3046-3050
[24] KENNEDY J.Particle swarm optimization[M]//SAMMUT C, WEBB G I.Encyclopedia of Machine Learning.New York:Springer,2011:760-766
[25] ARMAGHANI D J, SHOIB R S, FAIZI K, et al.Developing a hybrid PSO-ANN model for estimating the ultimate bearing capacity of rock-socketed piles[J].Neural Computing and Applications,2017,8(2):391-405
[26] 安爱民, 祁丽春, 丑永新, 等.基于粒子群优化的溶解氧质量浓度支持向量回归机[J].北京工业大学学报,2016,2(9):1318-1323
[27] BENVIDI A, ABBASI S, GHARAGHANI S, et al.Spectrophotometric determination of synthetic colorants using PSO-GA-ANN[J].Food Chemistry,2017,0:377-384
[28] 姜体胜, 杨琦, 尚海涛, 等.温度和 pH 值对活性污泥法脱氮除磷的影响[J].环境工程学报,2007,1(9):10-14
[29] 吴代顺, 桂丽娟, 侯红勋, 等.COD, MLSS, pH 值及污泥驯化对脱氮除磷的影响[J].中国给水排水,2012,8(13):117-120
[30] GAJEWSKA M, J'WIAKOWSKI K, GHRABI A, et al.Impact of influent wastewater quality on nitrogen removal rates in multistage treatment wetlands[J].Environmental Science and Pollution Research,2015,2(17):12840-12848
[31] 付昆明, 王会芳, 苏雪莹, 等.初始 pH 值对序批式 CANON 工艺脱氮效果和 N2O释放的影响[J].环境科学,2016,7(11):4261-4267