Robust Optimization of Spline Models and Complex Regulatory Networks Theory, Methods and Applications /
This book introduces methods of robust optimization in multivariate adaptive regression splines (MARS) and Conic MARS in order to handle uncertainty and non-linearity. The proposed techniques are implemented and explained in two-model regulatory systems that can be found in the financial sector and...
| Main Author: | Özmen, Ayse (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Series: | Contributions to Management Science,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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