Adelaide Research & Scholarship
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https://hdl.handle.net/2440/86344
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| Type: | Journal article |
| Title: | Selection of smoothing parameter estimators for general regression neural networks - applications to hydrological and water resources modelling |
| Author: | Li, X. Zecchin, A. Maier, H. |
| Citation: | Environmental Modelling and Software, 2014; 59:162-186 |
| Publisher: | Elsevier |
| Issue Date: | 2014 |
| ISSN: | 1364-8152 1873-6726 |
| Statement of Responsibility: | Xuyuan Li, Aaron C. Zecchin, Holger R. Maier |
| Abstract: | Abstract not available |
| Keywords: | General regression neural networks; Smoothing parameter estimators; Artificial neural networks; Multi-layer perceptrons; Extreme and average events; Hydrology and water resources |
| Rights: | © 2014 Elsevier Ltd. All rights reserved. |
| DOI: | 10.1016/j.envsoft.2014.05.010 |
| Published version: | http://dx.doi.org/10.1016/j.envsoft.2014.05.010 |
| Appears in Collections: | Aurora harvest 2 Civil and Environmental Engineering publications |
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