Kang-Kun Lee
2001–2011
A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Who trusts Kang-Kun Lee
- Chaopeng Shen (in Global and Planetary Change)
Papers from Kang-Kun Lee's perspective
Ordered by how strongly the researchers Kang-Kun Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models
- Time Series Analysis: Forecasting and Control
- Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations
- Model Induction with Support Vector Machines: Introduction and Applications
- Fast Training of Support Vector Machines using Sequential Minimal Optimization
- Robust estimation of hydrological model parameters
- Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
- FLOOD STAGE FORECASTING WITH SUPPORT VECTOR MACHINES 1
- Multilayer feedforward networks are universal approximators
- Neural Networks: A Comprehensive Foundation
Their papers
- A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer (2011) — 588 citations
- Transfer function-noise modelling of irregularly observed groundwater heads using precipitation data (2004) — 51 citations
- Transport and intersection mixing in random fracture networks with power law length distributions (2001) — 92 citations