Viscosity of ionic liquids: An extensive database and a new group contribution model based on a feed-forward artificial neural network

Journal of Chemical Information and Modeling

Volumn 54, Issue 5, 2014, Pages 1311-1324

  Paduszyński, Kamil ^a   Domańska, Urszula ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; IONIC LIQUIDS; MEAN SQUARE ERROR; VISCOSITY;

FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; GROUP CONTRIBUTION MODEL; GROUP CONTRIBUTIONS; MOLECULAR DESCRIPTORS; NEURAL NETWORK TRAINING; RELATIVE DEVIATIONS; SQUARED CORRELATION COEFFICIENTS; TEMPERATURE AND PRESSURES;

MULTILAYER NEURAL NETWORKS;

IONIC LIQUID;

ARTIFICIAL NEURAL NETWORK; CHEMICAL DATABASE; CHEMICAL MODEL; CHEMISTRY; PRESSURE; VISCOSITY;

DATABASES, CHEMICAL; IONIC LIQUIDS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); PRESSURE; VISCOSITY;

EID: 84901585878     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci500206u     Document Type: Article

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