Analysis Tool - Data2HSM via GeoPDNN
The GeoPDNN (Geological Pseudolabel Deep Neural Network) is a semi-supervised machine learning tool that integrates point-based datasets - such as formation picks from lithologic well logs or individual AEM soundings- into plausible stratigraphic surfaces for a preliminary hydrostratigraphic model.
File contains a preliminary description of the Data2HSM via GeoPDNN tool. Tool expected to be publicly available in Mid-late 2025.
Source: DWR's Basin Characterization Program
About this Resource
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| Name | Analysis Tool - Data2HSM via GeoPDNN |
| Format | PDF File |
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| Created | 5 months ago |
| Media type | application/pdf |
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| id | 7f5973a3-d498-4c8b-882c-2d5d379e9e6a |
| metadata modified | 5 months ago |
| package id | b39b6f41-c7cb-4a99-bc5c-f523cd72590e |
| position | 7 |
| state | active |
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