Jun Wang
Theoretical and Applied Climatology · with Li · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Jun Wang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni (in Artificial Intelligence)
Papers from Jun Wang's perspective
Ordered by how strongly the researchers Jun Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
- The Nature of Statistical Learning Theory
- 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