Artificial neural networks applied for simultaneous analysis of mixtures of nitrophenols by conductometric acid-base titration

Industrial and Engineering Chemistry Research

Volumn 50, Issue 19, 2011, Pages 11375-11381

  Rounaghi, Gholamhossein ^a   Kakhki, Roya Mohammad Zadeh ^a   Heidari, Tahereh ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

2 ,4-DINITROPHENOL; 4-NITROPHENOL; ACID-BASE TITRATION; BACKPROPAGATION LEARNING; CALIBRATION MODEL; CONDUCTANCE MATRIX; CONDUCTOMETRIC TITRATIONS; CONDUCTOMETRICS; DINITROPHENOLS; FEED-FORWARD; NITROPHENOLS; NON-LINEAR RELATIONSHIPS; PREDICTION ERRORS; PRINCIPAL COMPONENTS; SIMULTANEOUS ANALYSIS; SYNTHETIC MIXTURES; TERNARY MIXTURES; TRINITROPHENOL;

BACKPROPAGATION; MIXTURES; NETWORK ARCHITECTURE; NEURAL NETWORKS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; TITRATION;

PHENOLS;

EID: 84860126327     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie200900z     Document Type: Article

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