Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/96957
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| Type: | Journal article |
| Title: | Improving partial mutual information-based input variable selection by consideration of boundary issues associated with bandwidth estimation |
| Author: | Li, X. Zecchin, A. Maier, H. |
| Citation: | Environmental Modelling and Software, 2015; 71:78-96 |
| Publisher: | Elsevier |
| Issue Date: | 2015 |
| ISSN: | 1364-8152 1873-6726 |
| Statement of Responsibility: | Xuyuan Li, Aaron C. Zecchin, Holger R. Maier |
| Abstract: | Abstract not available |
| Keywords: | Artificial neural networks; Data-driven models; Partial mutual information; Kernel density estimation; Kernel bandwidth; Boundary issues; Hydrology and water resources; Input variable selection |
| Rights: | © 2015 Elsevier Ltd. All rights reserved. |
| DOI: | 10.1016/j.envsoft.2015.05.013 |
| Published version: | http://dx.doi.org/10.1016/j.envsoft.2015.05.013 |
| Appears in Collections: | Aurora harvest 3 Civil and Environmental Engineering publications |
Files in This Item:
| File | Description | Size | Format | |
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| hdl_96957.pdf | Accepted version | 1.66 MB | Adobe PDF | View/Open |
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