[ 1 ] National Bureau of Statistics of China. China statistical yearbook 2019. Beijing: China Statistics Press; 2019. Chinese.

[ 2 ] Lu J, Wang X, Liu H, Yu H, Li W. Optimizing operation of municipal wastewater treatment plants in China: the remaining barriers and future implications. Environ Int 2019;129:273–8. 链接1

[ 3 ] Irvine RL, Ketchum LH Jr, Asano T. Sequencing batch reactors for biological wastewater treatment. Crit Rev Environ Control 1989;18(4):255–94. 链接1

[ 4 ] Vieira M, Brito AG, Nogueira R. Nitrogen removal in a sequencing batch biofilm reactor: effect of carbon availability and intermittent aeration. World Rev Sci Techonol Sustainable Dev 2009;6(2–4):173. 链接1

[ 5 ] Ren Y, Ngo HH, Guo W, Wang D, Peng L, Ni BJ, et al. New perspectives on microbial communities and biological nitrogen removal processes in wastewater treatment systems. Bioresour Technol 2020;297:122491. 链接1

[ 6 ] Hu L, Wang J, Wen X, Qian Y. Study on performance characteristics of SBR under limited dissolved oxygen. Process Biochem 2005;40(1):293–6. 链接1

[ 7 ] Boon AG. Sequencing batch reactors: a review. Water Environ J 2003;17 (2):68–73. 链接1

[ 8 ] Singh M, Srivastava RK. Sequencing batch reactor technology for biological wastewater treatment: a review. Asia-Pac J Chem Eng 2011;6(1):3–13. 链接1

[ 9 ] Ingimundarson A, Ocampo-Martinez C, Bemporad A. Suboptimal model predictive control of hybrid systems based on mode-switching constraints. In: Proceedings of the 2007 46th IEEE Conference on Decision and Control; 2007 Dec 12–14; New Orleans, LA, USA. New York: IEEE; 2008. 链接1

[10] Olsson G, Newell B. Wastewater treatment systems: modelling, diagnosis and control. London: IWA Publishing; 2015. 链接1

[11] Baxter CW, Zhang Q, Stanley SJ, Shariff R, Tupas R-RT, Stark HL. Drinking water quality and treatment: the use of artificial neural networks. Can J Civ Eng 2001;28(S1):26–35. 链接1

[12] Miron M, Frangu L, Ifrim G, Garaman S. Modeling of a wastewater treatment process using neural networks. In: Proceedings of the 2016 20th International Conference on System Theory, Control and Computing; 2016 Oct 13–15; Sinaia, Romania. New York: IEEE; 2016. 链接1

[13] Fan M, Li T, Hu J, Cao R, Wu Q, Wei X, et al. Synthesis and characterization of reduced graphene oxide-supported nanoscale zero-valent iron (nZVI/rGO) composites used for Pb(II) removal. Materials 2016;9(8):687. 链接1

[14] Dreyfus G. Neural networks: an overview. In: Dreyfus G, editor. Neural networks—methodology and applications. Heidelberg: Springer; 2005. p. 1–83. 链接1

[15] Hornik K, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators. Neural Netw 1989;2(5):359–66. 链接1

[16] Ata R. Artificial neural networks applications in wind energy systems: a review. Renew Sustain Energy Rev 2018;84:173. Retraction of: Ata R. Renew Sustain Energy Rev 2015;49:534–62.

[17] Almási A, Woz´niak S, Cristea V, Leblebici Y, Engbersen T. Review of advances in neural networks: neural design technology stack. Neurocomputing 2016;174 (Pt A):31–41. 链接1

[18] Lin D, Vasilakos AV, Tang Y, Yao Y. Neural networks for computer-aided diagnosis in medicine: a review. Neurocomputing 2016;216:700–8. 链接1

[19] Lesnik KL, Liu H. Predicting microbial fuel cell biofilm communities and bioreactor performance using artificial neural networks. Environ Sci Technol 2017;51(18):10881–92. 链接1

[20] Silver D, Schrittwieser J, Simonyan K, Antonoglou I, Huang A, Guez A, et al. Mastering the game of Go without human knowledge. Nature 2017;550 (7676):354–9. 链接1

[21] Qian N. On the momentum term in gradient descent learning algorithms. Neural Netw 1999;12(1):145–51. 链接1

[22] Sadrzadeh M, Mohammadi T, Ivakpour J, Kasiri N. Neural network modeling of Pb2+ removal from wastewater using electrodialysis. Chem Eng Process 2009;48(8):1371–81. 链接1

[23] Association APH. Standard methods for the examination of water and wastewater. 21st ed. Washington, DC: American Public Health Association; 2005. 链接1

[24] Ojha VK, Abraham A, Snášel V. Metaheuristic design of feedforward neural networks: a review of two decades of research. Eng Appl Artif Intel 2017;60:97–116. 链接1

[25] Anzai Y. Learning by neural networks. In: Anzai Y, editor. Pattern recognition & machine learning. San Francisco: Morgan Kaufmann; 1992. p. 297–335. 链接1

[26] Zhang S, Choromanska A, LeCun Y. Deep learning with elastic averaging SGD. 2014. arXiv:1412.6651.

[27] MacKay DJC. A practical bayesian framework for backpropagation networks. Neural Comput 1992;4(3):448–72. 链接1

[28] Foresee F, Hagan M. Gauss–Newton approximation to Bayesian regularization. In: Proceedings of International-joint Conference on Neural Networks; 1997 Jun 9–12; Houston, TX, USA; New York: IEEE; 1997.

[29] Moller MF. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 1993;6(4):525–33. 链接1

[30] Kundu P, Debsarkar A,Mukherjee S. Artificial neural networkmodeling for biological removal of organic carbon and nitrogen from slaughterhouse wastewater in a sequencing batch reactor. Adv Artif Neural Syst 2013;2013:268064. 链接1

[31] Gong H, Pishgar R, Tay JH. Artificial neural network modelling for organic and total nitrogen removal of aerobic granulation under steady-state condition. Environ Technol 2019;40(24):3124–39. 链接1

[32] Ebrahimi M, Gerber EL, Rockaway TD. Temporal performance assessment of wastewater treatment plants by using multivariate statistical analysis. J Environ Manage 2017;193:234–46. 链接1

[33] Brdjanovic D, Slamet A, van Loosdrecht MCM, Hooijmans CM, Alaerts GJ, Heijnen JJ. Impact of excessive aeration on biological phosphorus removal from wastewater. Water Res 1998;32(1):200–8. 链接1