Artificial intelligence based modeling for predicting the disinfection by-products in water

Chemometrics and Intelligent Laboratory Systems

Volumn 114, Issue , 2012, Pages 122-131

  Singh, Kunwar P ^a   Gupta, Shikha ^a  

^a CSIR INDIAN INSTITUTE OF TOXICOLOGY RESEARCH   (India)

Author keywords

Artificial neural networks; Gene expression programming; Predictive modeling; Sensitivity analysis; Support vector machines; Trihalomethanes

Indexed keywords

BROMIDE; CHLORINE; ORGANIC CARBON; TRIHALOMETHANE; WATER;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CHEMICAL ANALYSIS; CHLORINATION; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; DISINFECTION; GENE EXPRESSION PROGRAMMING; INTERMETHOD COMPARISON; PH; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; REACTION TIME; SENSITIVITY ANALYSIS; SUPPORT VECTOR MACHINE; TEMPERATURE SENSITIVITY; VALIDATION STUDY; WATER ANALYSIS; WATER DISINFECTION; WATER TREATMENT;

EID: 84860443486     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2012.03.014     Document Type: Article

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