Yiming Hu
Theoretical and Applied Climatology · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yiming Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yiming Hu's perspective
Ordered by how strongly the researchers Yiming Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
- A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.
- Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand…
- Ensemble flood forecasting: a review.
- Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction
- Modeling of the daily rainfall-runoff relationship with artificial neural network
- A multipopulation genetic algorithm to solve the inverse problem in hydrogeology