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EC-SVM approach for real-time hydrologic forecasting
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Forecasting Municipal Solid waste Generation by Hybrid Support Vector Machine and Partial Least Square Model
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The river runoff forecast based on the modeling of time series
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Digital mapping techniques '06 - Workshop proceedings
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Adaptive neuro-fuzzy inference system for flood forecasting in a large river system
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SARIMA Approach to Generating Synthetic Monthly Rainfall in the Sinú River Watershed in Colombia
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Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling
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Mining Informative Hydrologic Data by Using Support Vector Machines and Elucidating Mined Data according to Information Entropy
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A Hybrid Particle Swarm Optimization Algorithm with Dynamic Adjustment of Inertia Weight Based on a New Feature Selection Method to Optimize SVM Parameters
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A Machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture
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Flash Flood Forecasting Using Support Vector Regression Model in a Small Mountainous Catchment
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Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin
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An Hourly Streamflow Forecasting Model Coupled with an Enforced Learning Strategy
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Groundwater level prediction using support vektor machines and autoregressive (AR) modelss
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Study of Time Series Data Mining for the Real Time Hydrological Forecasting: A Review
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