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
- Environmental Engineering — 8 citations into it; #4,186 of 5,479 by trust here, #4,165 by citations
- Electrical and Electronic Engineering — 5 citations into it
Whom S. Gato-Trinidad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts S. Gato-Trinidad overall
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.
- Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
- A data‐driven algorithm for constructing artificial neural network rainfall‐runoff models
- A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting
- Groundwater level forecasting using artificial neural networks
- Artificial neural network technique for rainfall forecasting applied to the São Paulo region
- Streamflow Forecasting Using Different Artificial Neural Network Algorithms
- Discovering Statistics Using SPSS
- Solving Multicollinearity in the Process of Fitting Regression Model Using the Nested Estimate Procedure
- Artificial neural network modeling of water table depth fluctuations
- An application of artificial neural networks for rainfall forecasting