Linear and nonlinear modeling for simultaneous prediction of dissolved oxygen and biochemical oxygen demand of the surface water - A case study

Chemometrics and Intelligent Laboratory Systems

Volumn 104, Issue 2, 2010, Pages 172-180

  Basant, Nikita ^a   Gupta, Shikha ^b   Malik, Amrita ^b   Singh, Kunwar P ^b  

^a UNIVERSITY OF MODENA AND REGGIO EMILIA   (Italy)

^b CSIR INDIAN INSTITUTE OF TOXICOLOGY RESEARCH   (India)

Author keywords

Artificial neural network; Back propagation; Feed forward; Modeling; Partial least squares regression; Water quality

Indexed keywords

DISSOLVED OXYGEN; RIVER WATER; SURFACE WATER;

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BIOCHEMICAL OXYGEN DEMAND; CONTROLLED STUDY; ENVIRONMENTAL MONITORING; INTERMETHOD COMPARISON; LEARNING ALGORITHM; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; VALIDATION PROCESS; WATER ANALYSIS; WATER QUALITY;

EID: 78650311079     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2010.08.005     Document Type: Article

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