Sungwon Kim
Journal of Hydrology · with Kisi · 2013–2019
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sungwon Kim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Sungwon Kim overall
Papers from Sungwon Kim's perspective
Ordered by how strongly the researchers Sungwon Kim trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating Evapotranspiration using Artificial Neural Network
- Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression (Irrigation science)
- Neural Networks and Learning Machines
- Neural Networks: A Comprehensive Foundation
- A decision-theoretic generalization of on-line learning and an application to boosting
- An introduction to computing with neural nets
- Evaluation of pan coefficient for reference crop evapotranspiration for semi-arid region (Irrigation science)
- A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) models (Expert systems with applications)
- Self-Organization and Associative Memory
- An Algorithm for Vector Quantizer Design
Their papers
- Daily river flow forecasting using ensemble empirical mode decomposition based heuristic regression models: Application on the perennial rivers in Iran and South Korea (2019) — 72 citations
- Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) (2013) — 71 citations
- Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns (2013) — 83 citations