A comparison of four methods for non-linear data modelling

This publication has 24 references indexed in Scilit:

• Neural networks: A new method for solving chemical problems or just a passing phase?
  Published by Elsevier ,2002
• ASMO—Dan algorithm for adaptive spline modelling of observation data
  International Journal of Control, 1993
• The H-principle in modelling with applications to chemometrics
  Chemometrics and Intelligent Laboratory Systems, 1992
• Artificial neural networks as a tool for soft-modelling in quantitative analytical chemistry: the prediction of the water content of cheese
  Analytica Chimica Acta, 1992
• Universal Approximation Using Radial-Basis-Function Networks
  Neural Computation, 1991
• Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem
  Neural Networks, 1991
• Adaptive networks for fault diagnosis and process control
  Computers & Chemical Engineering, 1990
• Modeling chemical process systems via neural computation
  IEEE Control Systems Magazine, 1990
• Neural networks for system identification
  IEEE Control Systems Magazine, 1990
• PLS regression methods
  Journal of Chemometrics, 1988