Zhongmin Liang
Global and Planetary Change · 2012–2019
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 27 citations into it
- Environmental Engineering — 16 citations into it
- Artificial Intelligence — 7 citations into it
Whom Zhongmin Liang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapni
- Robert E. Kass
- K. Haddad
- T. Cohn
- Mathieu Ribatet
- Dmitri Kavetski
- Adrian E. Raftery
- Jery R. Stedinger
- Jerome H. Friedman
- Eduardo Sávio Passos Rodrigues Martins
Who trusts Zhongmin Liang overall
Papers from Zhongmin Liang's perspective
Ordered by how strongly the researchers Zhongmin Liang trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- An adaptive Metropolis algorithm
- Confidence intervals for expected moments algorithm flood quantile estimates
- Inference from Iterative Simulation Using Multiple Sequences
- Bayes factors
- 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…
- Multivariate adaptive regression splines
- 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
- Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction
Their papers
- Combination of Multiple Data-Driven Models for Long-Term Monthly Runoff Predictions Based on Bayesian Model Averaging (2019) — 83 citations
- Prediction of Suspended Sediment Load Using Data-Driven Models (2019) — 65 citations
- A data-driven SVR model for long-term runoff prediction and uncertainty analysis based on the Bayesian framework (2018) — 86 citations
- Application of Bayesian Model Averaging Approach to Multimodel Ensemble Hydrologic Forecasting (2013) — 48 citations
- Bayesian flood frequency analysis in the light of model and parameter uncertainties (2012) — 48 citations