INIS
aquifers
100%
neural networks
100%
usa
100%
ground water
100%
data
100%
accuracy
80%
efficiency
60%
optimization
40%
errors
40%
modeling
40%
availability
40%
roots
20%
levels
20%
metrics
20%
hybrids
20%
forecasting
20%
management
20%
variations
20%
irrigation
20%
information
20%
correlations
20%
peaks
20%
assessments
20%
water
20%
performance
20%
strong interactions
20%
learning
20%
humans
20%
surface waters
20%
algorithms
20%
climates
20%
Earth and Planetary Sciences
Plain
100%
United States of America
100%
Artificial Neural Network
100%
Aquifer
100%
Groundwater
100%
Accuracy
80%
Ability
40%
Model
40%
Area
40%
Modeling
40%
Average
40%
Show
20%
Coefficient
20%
Climate
20%
Criterion
20%
Time Lag
20%
Water Availability
20%
Surface Water
20%
Improvement
20%
Hybrid
20%
Response
20%
Variation
20%
Learning
20%
Input
20%
Assessment
20%
Root-Mean-Square Error
20%
Error
20%
Approach
20%
Water Management
20%
Cross Correlation
20%