Asphalt's performance grades estimation using artificial neural networks and proton nuclear magnetic resonance spectroscopy
Document title: Asphalt's performance grades estimation using artificial neural networks and proton nuclear magnetic resonance spectroscopy
Journal: Visión tecnológica
Database: PERIÓDICA
System number: 000185947
ISSN: 1315-0855
Authors: 1
Institutions: 1Instituto Tecnológico Venezolano del Petróleo, Caracas, Distrito Federal. Venezuela
Year:
Volumen: 9
Number: 1
Pages: 17-24
Country: Venezuela
Language: Inglés
Document type: Artículo
Approach: Analítico
Disciplines: Química,
Física y astronomía
Keyword: Fisicoquímica y química teórica,
Mecánica, elasticidad y reología,
Asfalto,
Grados de desempeño,
Redes neuronales,
RMN,
Espectroscopía,
Propiedades reológicas
Keyword: Chemistry,
Physics and astronomy,
Physical and theoretical chemistry,
Mechanics, elasticity and rheology,
Asphalt,
Performance grades,
Neural networks,
NMR,
Spectroscopy,
Rheological properties
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