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For: Giordani D, Oliveira P, Guimarães A, Guimarães R. Correlation of modified natural rubber properties by artificial neural networks. POLYM ENG SCI 2009. [DOI: 10.1002/pen.21311] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Number Cited by Other Article(s)
1
Pang S, Luo J, Wu Y. Properties Prediction and Design of Tire Tread Composites Using Machine Learning. MACROMOL THEOR SIMUL 2020. [DOI: 10.1002/mats.201900063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
2
Tronci S, Coppola S, Bacchelli F, Grosso M. Flow instabilities in rheotens experiments: Analysis of the impacts of the process conditions through neural network modeling. POLYM ENG SCI 2012. [DOI: 10.1002/pen.23387] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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