S. Gato-Trinidad

Environmental Engineering · 2013

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom S. Gato-Trinidad trusts overall

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

  1. Ashish Sharma

Who trusts S. Gato-Trinidad overall

  1. Ravinesh C. Deo

Papers from S. Gato-Trinidad's perspective

Ordered by how strongly the researchers S. Gato-Trinidad 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. A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models
  3. A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting
  4. Groundwater level forecasting using artificial neural networks
  5. Artificial neural network technique for rainfall forecasting applied to the São Paulo region
  6. Streamflow Forecasting Using Different Artificial Neural Network Algorithms
  7. Discovering Statistics Using SPSS
  8. Solving Multicollinearity in the Process of Fitting Regression Model Using the Nested Estimate Procedure
  9. Artificial neural network modeling of water table depth fluctuations
  10. An application of artificial neural networks for rainfall forecasting

Their papers