Development and application of reduced-order neural network model based on proper orthogonal decomposition for BOD5 monitoring in river systems: Uncertainty analysis

Environmental Progress and Sustainable Energy

Volumn 32, Issue 2, 2013, Pages 344-349

  Noori, Roohollah ^a   Ashrafi, Khosro ^a   Karbassi, Abdolreza ^a   Ardestani, Mojtaba ^a   Mehrdadi, Naser ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

BOD5; proper orthogonal decomposition; reduced order model; uncertainty analysis

Indexed keywords

CONFIDENCE BOUNDS; DEVELOPMENT AND APPLICATIONS; NEURAL NETWORK MODEL; ON-LINE ESTIMATION; PROPER ORTHOGONAL DECOMPOSITIONS; REDUCED ORDER; REDUCED ORDER MODELS; RIVER SYSTEMS;

BIOCHEMICAL OXYGEN DEMAND; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; WATER CONSERVATION; WATER MANAGEMENT; WATER SUPPLY;

UNCERTAINTY ANALYSIS;

EID: 84876286099     PISSN: 19447442     EISSN: 19447450     Source Type: Journal    
DOI: 10.1002/ep.11610     Document Type: Article

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