A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference systems

Sensors and Actuators, B: Chemical

Volumn 115, Issue 1, 2006, Pages 252-262

  Gulbag, Ali ^a   Temurtas, Fevzullah ^a  

^a SAKARYA UNIVERSITY   (Turkey)

Author keywords

Adaptive neuro fuzzy inference systems; Concentration estimation; Neural networks; Quantitative classification; Training algorithms

Indexed keywords

ACETONE; ADAPTIVE ALGORITHMS; ARRAYS; BACKPROPAGATION; BINARY MIXTURES; FUZZY CONTROL; INTERFACES (COMPUTER); SENSORS;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS; FLETCHER-REEVES CONJUGATE-GRADIENT (CG) ALGORITHM; QUARTZ CRYSTAL MICROBALANCE (QCM);

NEURAL NETWORKS;

EID: 33645751073     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2005.09.009     Document Type: Article

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