Lihua Song

Environmental Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lihua Song trusts overall

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

  1. Holger R. Maier
  2. Taher Rajaee
  3. Graeme C. Dandy
  4. Murat Ay
  5. Ozgur Kisi
  6. Gavin J. Bowden
  7. Wenyan Wu
  8. Gianluca Bontempi
  9. Sheen Mclean Cabaneros
  10. Mohammad Zounemat‐Kermani

Papers from Lihua Song's perspective

Ordered by how strongly the researchers Lihua Song 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. Artificial neural network modeling of the river water quality—A case study
  6. 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)
  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