Multivariate adaptive regression splines for analysis of geotechnical engineering systems
With the rapid increases in processing speed and memory of low-cost computers, it is not surprising that various advanced computational learning tools such as neural networks have been increasingly used for analyzing or modeling highly nonlinear multivariate engineering problems. These algorithms ar...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/96646 http://hdl.handle.net/10220/9949 |