Neural network modeling applied to polyacrylamide based hydrogels synthetized by single step process

Polymer - Plastics Technology and Engineering

Volumn 47, Issue 10, 2008, Pages 1061-1071

  Curteanu, Silvia ^a   Dumitrescu, Anca ^b   Mihǎilescu, Camelia ^a   Simionescu, Bogdan ^a  

^a GHEORGHE ASACHI TECHNICAL UNIVERSITY OF IASI   (Romania)

^b PETRU PONI INSTITUTE OF MACROMOLECULAR CHEMISTRY   (Romania)

Author keywords

Direct and inverse neural network modeling; Hydrogels, modeling and optimization strategy; Swelling degree

Indexed keywords

ABS RESINS; CHEMICAL REACTIONS; COLLOIDS; HYDROGELS; IMAGE CLASSIFICATION; MATHEMATICAL MODELS; MONOMERS; NETWORK PROTOCOLS; OPTIMIZATION; ORGANIC POLYMERS; POLYMERIZATION; POLYMERS; SENSOR NETWORKS;

DIRECT AND INVERSE NEURAL NETWORK MODELING; EXPERIMENTAL DATA; HYDROGELS, MODELING AND OPTIMIZATION STRATEGY; MAIN PARAMETERS; MODELING AND OPTIMIZATION; NEURAL MODELING; NEURAL NETWORK MODELLING; OPTIMIZATION METHODS; POLYACRYL AMIDES; POLYMERIZATION YIELD; REACTANT CONCENTRATIONS; REACTION CONDITIONS; REACTION TIME; SINGLE-STEP PROCESS; SWELLING DEGREE; SWELLING DEGREES; SYNTHESIS OF; TESTING DATA; TRAINING DATA;

NEURAL NETWORKS;

COMPUTER SIMULATION; HYDROGEL; NEURAL NETWORK; OPTIMIZATION; POLYACRYLAMIDE; POLYMERIZATION; SYNTHESIS; TEMPERATURE;

EID: 53649102078     PISSN: 03602559     EISSN: 15256111     Source Type: Journal    
DOI: 10.1080/03602550802355750     Document Type: Article

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