Daoliang Li

Water Science and Technology · 2020

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

Subfields

Whom Daoliang Li trusts

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

  1. Graeme C. Dandy (in Environmental Engineering)
  2. Holger R. Maier (in Environmental Engineering)
  3. Ozgur Kisi (in Environmental Engineering)
  4. Taher Rajaee (in Environmental Engineering)

Papers from Daoliang Li's perspective

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

  1. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
  2. 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)
  3. Input determination for neural network models in water resources applications. Part 1—background and methodology
  4. Forecasting stream water temperature using regression analysis, artificial neural network, and chaotic non-linear dynamic models
  5. 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)
  6. Artificial neural network modeling of the river water quality—A case study
  7. Evaluation of data driven models for river suspended sediment concentration modeling
  8. Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
  9. A review of artificial neural network models for ambient air pollution prediction (Environmental Modelling & Software)
  10. Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques

Their papers