Artificial neural networks in water analysis: Theory and applications

International Journal of Environmental Analytical Chemistry

Volumn 90, Issue 2, 2010, Pages 85-105

  Farmaki, Eleni G ^a,b   Thomaidis, Nikolaos S ^a   Efstathiou, Constantinos E ^a  

^a UNIVERSITY OF ATHENS   (Greece)

^b Athens Water Supply and Sewerage Company EYDAP SA   (Greece)

Author keywords

Anns; Back propagation; Chemometrics; Classification; Kohonen network; Modelling; Radial basis function; Water analysis

Indexed keywords

ANALYTICAL CHEMISTRY; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CHEMOMETRICES; CHEMOMETRICS; CLASSIFICATION; CLASSIFIER MODELS; COMMON NETWORKS; COMPLEX FUNCTIONS; DELTA-BAR-DELTA; EFFECTIVE TOOL; INPUT VARIABLES; KOHONEN; KOHONEN NETWORK; MULTI-LAYER PERCEPTRONS; NON-LINEAR; OPTIMISATIONS; OUTPUT VARIABLES; PERCEPTRON; PREDICTION ERRORS; PREDICTIVE MODELS; PROGRAM UNITS; RADIAL BASIS FUNCTIONS; TRAINING ALGORITHMS; WATER QUALITY ASSESSMENTS;

ATTITUDE CONTROL; BACKPROPAGATION ALGORITHMS; DATA FLOW ANALYSIS; FORECASTING; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; WATER POLLUTION; WATER QUALITY;

QUALITY CONTROL;

EID: 77951132545     PISSN: 03067319     EISSN: 10290397     Source Type: Journal    
DOI: 10.1080/03067310903094511     Document Type: Article

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