Comparison of conventional artificial neural network and wavelet neural network in modeling the half-wave potential of aldehydes and ketones

Electrochimica Acta

Volumn 55, Issue 8, 2010, Pages 2597-2605

  Garkani Nejad, Zahra ^a   Rashidi Nodeh, Hamid ^a  

^a VALI E ASR UNIVERSITY OF RAFSANJAN   (Iran)

Author keywords

Artificial neural network (ANN); Half wave potential (E1 2); Multiple liner regression (MLR); Quantitative structure electrochemistry relationship (QSER); Wavelet neural network (WNN)

Indexed keywords

ARTIFICIAL NEURAL NETWORK; HALF-WAVE POTENTIAL; MULTIPLE LINER REGRESSION (MLR); QUANTITATIVE STRUCTURES; WAVELET NEURAL NETWORKS;

ALDEHYDES; ELECTROCHEMISTRY; ELECTROLYSIS; KETONES; REGRESSION ANALYSIS; SULFUR COMPOUNDS;

NEURAL NETWORKS;

EID: 76549131004     PISSN: 00134686     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.electacta.2009.11.083     Document Type: Article

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