Found 37 datasets matching "artificial neural network".
-
This data release contains the model inputs, outputs, and source code (written in R) for the boosted regression tree (BRT) and artificial neural network (ANN) models developed for four sites in...
Search relevance: 130.71 | Views last month: 0 -
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir...
Search relevance: 121.31 | Views last month: 1 -
Volume concentrations of secondary organic aerosol (SOA) are measured in 139 steady-state, single precursor hydrocarbon oxidation experiments after passing through a temperature controlled inlet....
Search relevance: 97.43 | Views last month: 1 -
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...
Search relevance: 71.46 | Views last month: 2 -
This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany...
Search relevance: 66.66 | Views last month: 0 -
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...
Search relevance: 66.48 | Views last month: 0 -
Classified map of crop types in California's Central Valley generated using artificial neural network multilayer perceptron models and Harmonized Landsat-8 Sentinel-2 Landsat 30m (HLSL30) data....
Search relevance: 62.94 | Views last month: 0 -
The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design...
Search relevance: 59.94 | Views last month: 3 -
Git archive containing Python modules and resources used to generate machine-learning models used in the "Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the...
Search relevance: 58.01 | Views last month: 1 -
This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The...
Search relevance: 57.80 | Views last month: 0 -
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...
Search relevance: 57.63 | Views last month: 0 -
The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a monthly global merged land-ocean surface temperature analysis product that is derived from two independent analyses. The first is...
Search relevance: 56.20 | Views last month: 46 -
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from...
Search relevance: 56.10 | Views last month: 2 -
Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the location of hidden geothermal resources. This submission...
Search relevance: 54.05 | Views last month: 0 -
These are input data to the Soil and Water Assessment Tool (SWAT) developed for a watershed and Artificial Neural Network (ANN) constructed as a simulation model for the wetland as well as outputs...
Search relevance: 51.91 | Views last month: 0 -
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...
Search relevance: 51.53 | Views last month: 0 -
Public Act No. 23-16, Section 1, effective July 1, 2023, directs the Department of Administrative Services to conduct an annual inventory of all systems that employ artificial intelligence and are...
Search relevance: 49.95 | Views last month: 20 -
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...
Search relevance: 49.01 | Views last month: 0 -
Process-guided deep learning water temperature predictions: 5a Lake Mendota detailed prediction data
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models...
Search relevance: 48.24 | Views last month: 0 -
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models...
Search relevance: 47.70 | Views last month: 1
