Training data - Hydraulic Head Probabilistic MLP-NN
收藏数据链接：
官方服务：
资源简介：
Training data for paper on hydraulic head predictions using an MLP-NN.
应用场景：
创建时间：
2022-07-11
相关数据集
Data for: Quantify continental crustal thickness using the machine learning method
Table S1 The compositions and corresponding crustal thickness of the training data Table S2 The compositions and predicted crustal thickness of the Kohistan arc Table S3 The compositions and predicted
Mendeley Data70
Supplementary Data-Biogenic methane clumped isotope signatures : insights from microbially enhanced coal bed methane and machine learning
data for “Biogenic methane clumped isotope signatures :insights from microbially enhanced coal bed methane and machine learning”
Figshare2023-09-06 更新30
Machine-learning model predictions and groundwater-quality rasters of specific conductance, total dissolved solids, and chloride in aquifers of the Mississippi Embayment
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict...
data.gov00
Point data for four case studies related to testing of multi-order hydrologic position
The location of a point (or pixel) within the conterminous U.S. can be assigned based on its position relative to the Nation's stream network. Two metrics are recognized: lateral position (LP) and dis
U.S. Geological Survey2019-01-01 更新30
Machine-learning model predictions and groundwater-quality rasters of total dissolved solids in aquifers of the Mississippi Embayment
Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict...
data.gov10
