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Found 11 dataset(s) matching "feed forward neural network".
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ANN-NEP is a gridded surface ocean pCO2 data product for the Northeast Pacific open ocean. It was created using non-linear functional relationships between pCO2 observations from the Surface Ocean...
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ANN-NEPc is a gridded surface ocean pCO2 data product for the Northeast Pacific coastal ocean. It was created using non-linear functional relationships between pCO2 observations from the Surface...
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This dataset contains a global gridded data product of observation-based ocean interior dissolved oxygen concentrations. The data product is called GOBAI-O2 for Gridded Ocean Biogeochemistry from...
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This dataset contains a combined globally mapped estimate of the air-sea exchange of carbon dioxide (CO2) based on Surface Ocean CO2 Atlas Database (SOCAT) partial pressure of CO2 (pCO2) and...
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This dataset contains the partial pressure of carbon dioxide (pCO2) climatology that was created by merging 2 published and publicly available pCO2 datasets covering the open ocean (Landschützer...
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This dataset contains a global gridded dataset of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification (v2023). The full marine carbonate system is calculated...
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This dataset contains surface-ocean partial pressure of carbon dioxide (pCO2) that the ensemble mean of six two-step clustering-regression machine learning methods. The ensemble is a combination...
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This report reviews the training of machine learning algorithms to laboratory triaxial ultrasonic velocity data for Utah FORGE Well 16A(78)-32. Three machine learning (ML) predictive models were...
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This task completion report documents the development and implementation of machine learning (ML) models for the prediction of in-situ vertical (Sv), minimum horizontal (SHmin) and maximum...
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TrojAI cyber-apk-nov2023 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of small feed forward...
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The data contained herein are five input features (i.e., heat flow, distance to the nearest quaternary fault, distance to the nearest quaternary magma body, seismic event density, maximum...
