Automobile parts reliability prediction based on claim data: The comparison of predictive effects with deep learning

Engineering & Materials Science

• Automobiles 71%
• Deep learning 69%
• Quality assurance 54%
• Recurrent neural networks 26%
• Model automobiles 22%
• Accidents 20%
• Industry 16%
• Weibull distribution 15%
• Costs 14%
• Random forests 13%
• Convolutional neural networks 11%
• Time series 11%
• Support vector machines 10%
• Machine learning 9%

Chemical Compounds

• Accident 100%
• Time 13%