Jing Peng

Environmental Engineering · with Luo · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Peng trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ozgur Kisi

Papers from Jing Peng's perspective

Ordered by how strongly the researchers Jing Peng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Statistical Learning Theory
  2. Input determination for neural network models in water resources applications. Part 1—background and methodology
  3. A wavelet-support vector machine conjunction model for monthly streamflow forecasting
  4. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  5. Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting
  6. Predicting monthly streamflow using data‐driven models coupled with data‐preprocessing techniques
  7. A tutorial on support vector regression
  8. A general regression neural network
  9. Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting
  10. Predictability of monthly temperature and precipitation using automatic time series forecasting methods (Acta Geophysica)

Their papers