Artificial neural networks applied to epoxy composites reinforced with carbon and E-glass fibers: Analysis of the shear mechanical properties
- 6 February 2007
- journal article
- Published by Elsevier BV in Materials Science and Engineering: A
- Vol. 464 (1-2), 177-185
- https://doi.org/10.1016/j.msea.2007.01.131
Abstract
No abstract availableKeywords
This publication has 17 references indexed in Scilit:
- The use of data mining and neural networks for forecasting stock market returnsExpert Systems with Applications, 2005
- Functionalized composite structures for new generation airframes: a reviewComposites Science and Technology, 2005
- Modelling the effective thermal conductivity of an unidirectional composite by the use of artificial neural networksComposites Science and Technology, 2005
- Experiments in speech recognition using a modular MLP architecture for acoustic modellingInformation Sciences, 2003
- Artificial neural network predictions on erosive wear of polymersWear, 2003
- Dynamic mechanical properties of PTFE based short carbon fibre reinforced composites: experiment and artificial neural network predictionComposites Science and Technology, 2002
- A neural network tool for identifying the material parameters of a finite deformation viscoplasticity model with static recoveryComputer Methods in Applied Mechanics and Engineering, 2001
- Fatigue life prediction of unidirectional glass fiber/epoxy composite laminae using neural networksComposite Structures, 2001
- Acquiring the constitutive relationship for a thermal viscoplastic material using an artificial neural networkJournal of the American Academy of Dermatology, 1996
- Delamination prediction in composite beams with built-in piezoelectric devices using modal analysis and neural networkSmart Materials and Structures, 1996