Estimation of effluent quality using PLS-based extreme learning machines

Neural Computing and Applications

Volumn 22, Issue 3-4, 2013, Pages 509-519

  Zhao, Lijie ^a,b   Wang, Dianhui ^a,c   Chai, Tianyou ^a,d  

^a STATE KEY LABORATORY OF SYNTHETICAL AUTOMATION FOR PROCESS INDUSTRIES   (China)

^b SHENYANG UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^c LA TROBE UNIVERSITY   (Australia)

^d NORTHEASTERN UNIVERSITY   (China)

Author keywords

Extreme learning machine; Partial least square; Soft sensing; Wastewater treatment

Indexed keywords

EFFLUENT TREATMENT; EFFLUENTS; KNOWLEDGE ACQUISITION; LEAST SQUARES APPROXIMATIONS; MACHINE LEARNING; RECLAMATION; REGRESSION ANALYSIS; SEWAGE PUMPING PLANTS; WASTEWATER TREATMENT; WATER QUALITY; WATER TREATMENT PLANTS;

CONTROL AND OPTIMIZATION; EXTREME LEARNING MACHINE; GENERALIZATION PERFORMANCE; MUNICIPAL WASTEWATER TREATMENT PLANTS; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST-SQUARES REGRESSION; SOFT SENSING; WASTEWATER TREATMENT PLANTS;

SEWAGE TREATMENT PLANTS;

EID: 84874018050     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-012-0837-1     Document Type: Article

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