A Real-Time BOD Estimation Method in Wastewater Treatment Process Based on an Optimized Extreme Learning Machine

doi:10.3390/app9030523

	A Real-Time BOD Estimation Method in Wastewater Treatment Process Based on an Optimized Extreme Learning Machine
	Yu, Ping 1,2,3; Cao, Jie 1,2,3; Jegatheesan, Veeriah 4; Du, Xianjun 1,4
刊名	APPLIED SCIENCES-BASEL
	2019-02
卷号	9 期号:3
关键词	Biochemical oxygen demand (BOD) cuckoo search algorithm (CSA) extreme learning machine (ELM) soft sensor wastewater treatment process
ISSN号	2076-3417
DOI	10.3390/app9030523
英文摘要	It is difficult to capture the real-time online measurement data for biochemical oxygen demand (BOD) in wastewater treatment processes. An optimized extreme learning machine (ELM) based on an improved cuckoo search algorithm (ICS) is proposed in this paper for the design of soft BOD measurement model. In ICS-ELM, the input weights matrices of the extreme learning machine and the threshold of the hidden layer are encoded as the cuckoo's nest locations. The best input weights matrices and threshold are obtained by using the strong global search ability of improved cuckoo search algorithm. The optimal results can be used to improve the precision of forecasting based on less number of neurons of the hidden layer in ELM. Simulation results show that the soft sensor model has good real-time performance, high prediction accuracy, and stronger generalization performance for BOD measurement of the effluent quality compared to other modeling methods such as back propagation (BP) network in most cases.
资助项目	Excellent Young Teacher Project of Lanzhou University of Technology[Q201408]
WOS研究方向	Chemistry ; Materials Science ; Physics
语种	英语
出版者	MDPI
WOS记录号	WOS:000459976200163
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/32125]
专题	电气工程与信息工程学院
通讯作者	Jegatheesan, Veeriah
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Gansu, Peoples R China 2.Lanzhou Univ Technol, Key Lab Gansu Adv Control Ind Proc, Lanzhou 730050, Gansu, Peoples R China 3.Lanzhou Univ Technol, Natl Demonstrat Ctr Expt Elect & Control Engn Edu, Lanzhou 730050, Gansu, Peoples R China 4.RMIT Univ, Sch Engn, Melbourne, Vic 3000, Australia
推荐引用方式 GB/T 7714	Yu, Ping,Cao, Jie,Jegatheesan, Veeriah,et al. A Real-Time BOD Estimation Method in Wastewater Treatment Process Based on an Optimized Extreme Learning Machine[J]. APPLIED SCIENCES-BASEL,2019,9(3).
APA	Yu, Ping,Cao, Jie,Jegatheesan, Veeriah,&Du, Xianjun.(2019).A Real-Time BOD Estimation Method in Wastewater Treatment Process Based on an Optimized Extreme Learning Machine.APPLIED SCIENCES-BASEL,9(3).
MLA	Yu, Ping,et al."A Real-Time BOD Estimation Method in Wastewater Treatment Process Based on an Optimized Extreme Learning Machine".APPLIED SCIENCES-BASEL 9.3(2019).