Artificial Neural Networks in Hydrology. I: Preliminary Concepts
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Detecting drawdowns masked by environmental stresses with water-level modelsA Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article TitlesPermeable pavement and stormwater management systems: a review.Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran.Use of nested flow models and interpolation techniques for science-based management of the Sheyenne National Grassland, North Dakota, USA.ANN modelling of sediment concentration in the dynamic glacial environment of Gangotri in Himalaya.A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States.Neural networks modelling of nitrogen export: model development and application to unmonitored boreal forest watersheds.Convective oxygen transport in a constructed wetland pond: mechanism, measurements and modelling by multilayer perceptrons.Assessing the risk posed by high-turbidity water to water supplies.WEPP and ANN models for simulating soil loss and runoff in a semi-arid Mediterranean region.Artificial intelligence modeling to evaluate field performance of photocatalytic asphalt pavement for ambient air purification.Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS.Deriving stage–discharge–sediment concentration relationships using fuzzy logicAn Assessment of Mean Areal Precipitation Methods on Simulated Stream Flow: A SWAT Model Performance AssessmentStreamflow Forecasting Using Empirical Wavelet Transform and Artificial Neural NetworksComparative Evaluation of ANN- and SVM-Time Series Models for Predicting Freshwater-Saltwater Interface FluctuationsEstimation of Instantaneous Peak Flow Using Machine-Learning Models and Empirical Formula in Peninsular SpainApplication of BP Neural Network Algorithm in Traditional Hydrological Model for Flood ForecastingIntegrating Artificial Neural Networks into the VIC Model for Rainfall-Runoff ModelingSupport Vector Regression for Rainfall-Runoff Modeling in Urban Drainage: A Comparison with the EPA’s Storm Water Management ModelAn Hourly Streamflow Forecasting Model Coupled with an Enforced Learning StrategyDaily Runoff Forecasting Model Based on ANN and Data Preprocessing TechniquesGrey Forecast Rainfall with Flow Updating Algorithm for Real-Time Flood ForecastingA benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networksReal-time deployment of artificial neural network forecasting models: Understanding the range of applicabilityBayesian training of artificial neural networks used for water resources modelingApplication of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundwater ResourcesPrediction of Ground Water Levels in the Uplands of a Tropical Coastal Riparian Wetland using Artificial Neural NetworksEstimation of Tsunami Bore Forces on a Coastal Bridge Using an Extreme Learning MachineHeuristic Modelling of the Water Resources Management in the Guadalquivir River Basin, Southern SpainAn Assessment of a Proposed Hybrid Neural Network for Daily Flow Prediction in Arid ClimateArtificial neural networks models for predicting effective drought index: Factoring effects of rainfall variabilityMachine learning algorithms for modeling groundwater level changes in agricultural regions of the U.SGlobal patterns in base flow index and recession based on streamflow observations from 3394 catchmentsUsing large-scale climatic patterns for improving long lead time streamflow forecasts for Gunnison and San Juan River BasinsEstimating annual precipitation for the Colorado River Basin using oceanic-atmospheric oscillationsUsing oceanic-atmospheric oscillations for long lead time streamflow forecastingDevelopment of Artificial Neural-Network-Based Models for the Simulation of Spring DischargeANN-Based Approach for Predicting Rating Curve of an Indian River
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P2860
Artificial Neural Networks in Hydrology. I: Preliminary Concepts
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована у квітні 2000
@uk
name
Artificial Neural Networks in Hydrology. I: Preliminary Concepts
@en
Artificial Neural Networks in Hydrology. I: Preliminary Concepts
@nl
type
label
Artificial Neural Networks in Hydrology. I: Preliminary Concepts
@en
Artificial Neural Networks in Hydrology. I: Preliminary Concepts
@nl
prefLabel
Artificial Neural Networks in Hydrology. I: Preliminary Concepts
@en
Artificial Neural Networks in Hydrology. I: Preliminary Concepts
@nl
P1476
Artificial Neural Networks in Hydrology. I: Preliminary Concepts
@en
P304
P356
10.1061/(ASCE)1084-0699(2000)5:2(115)
P407
P577
2000-04-01T00:00:00Z