Article ID Journal Published Year Pages File Type
6904649 Applied Soft Computing 2016 8 Pages PDF
Abstract

- Modeling is done for weld residual stress prediction using three intelligent tools.
- Performance is measured in terms of computational speed and accuracy.
- Results review that fuzzy support vector regression model trained with GA outperforms other models.
- Developed model enhances industrial automation.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Preview
Evolutionary fuzzy SVR modeling of weld residual stress
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