Ling Yang

Environmental Engineering · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ling Yang trusts overall

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

  1. Holger R. Maier
  2. Sepp Hochreiter

Papers from Ling Yang's perspective

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

  1. Long Short-Term Memory
  2. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
  3. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions (Environmental Modelling & Software)
  4. Input determination for neural network models in water resources applications. Part 1—background and methodology
  5. Forecasting stream water temperature using regression analysis, artificial neural network, and chaotic non-linear dynamic models
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Artificial neural network modeling of the river water quality—A case study
  9. Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling (Environmental Modelling & Software)
  10. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection

Their papers