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Volumn 32, Issue 6, 2009, Pages 781-790

Improving neural network prediction of effluent from biological wastewater treatment plant of industrial park using fuzzy learning approach

Author keywords

Adaptive network based fuzzy inference system; Artificial neural network; Biological wastewater treatment plant; Conventional activated sludge process; Industrial park

Indexed keywords

ADAPTIVE NETWORK-BASED FUZZY INFERENCE SYSTEM; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL WASTEWATER TREATMENT PLANT; CONVENTIONAL ACTIVATED SLUDGE PROCESS; INDUSTRIAL PARK;

EID: 69249219254     PISSN: 16157591     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00449-009-0304-2     Document Type: Article
Times cited : (31)

References (24)
  • 6
    • 65449145971 scopus 로고    scopus 로고
    • Novel modeling concept for evaluating the effects of cadmium and copper on heterotrophic growth and lysis rates in activated sludge process
    • doi:10.1016/j.jhazmat.2008.11.009
    • Pai TY, Wang SC, Lo HM et al. (2008) Novel modeling concept for evaluating the effects of cadmium and copper on heterotrophic growth and lysis rates in activated sludge process. J Hazard Mater. doi: 10.1016/j.jhazmat.2008. 11.009
    • (2008) J Hazard Mater
    • Pai, T.Y.1    Wang, S.C.2
  • 24
    • 69249246240 scopus 로고    scopus 로고
    • APHA. 19 American Public Health Association Washington
    • APHA (1998) Standard methods for the examination of water and wastewater, 19th edn. American Public Health Association, Washington
    • (1998)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.