Piezometric level prediction based on data mining techniques

This publication has 23 references indexed in Scilit:

• Random Forests for Big Data
  Big Data Research, 2017
• A neural network-based intelligent cognitive state recognizer for confidence-based e-learning system
  Neural Computing and Applications, 2016
• Extreme learning machine-based surrogate model for analyzing system reliability of soil slopes
  European Journal of Environmental and Civil Engineering, 2016
• Optimal design for correlated processes with input-dependent noise
  Computational Statistics & Data Analysis, 2014
• Using sensitivity analysis and visualization techniques to open black box data mining models
  Information Sciences, 2013
• The Elements of Statistical Learning
  2009
• Hydrostatic, Temperature, Time-Displacement Model for Concrete Dams
  Journal of Engineering Mechanics, 2007
• Practical selection of SVM parameters and noise estimation for SVM regression
  Neural Networks, 2004
• Control of properties in injection molding by neural networks
  Engineering Applications of Artificial Intelligence, 2001
• Random Forests
  Machine Learning, 2001