Extending the response range of an optical fibre pH sensor using an artificial neural network

This publication has 13 references indexed in Scilit:

• Neural network approach to qualitative identification of fuels and oils from laser induced fluorescence spectra
  Analytica Chimica Acta, 1994
• Simulation of polysaccharide carbon-13 nuclear magnetic resonance spectra using regression analysis and neural networks
  Analytical Chemistry, 1993
• Prediction of infrared spectra from chemical structures of organic compounds using neural networks
  Chemometrics and Intelligent Laboratory Systems, 1993
• Application of the artificial neural network approach to the recognition of specific patterns in Auger electron spectroscopy
  Surface and Interface Analysis, 1993
• Multiple-indicator fiber-optic sensor for high-resolution pCO2 sea water measurements
  Analytica Chimica Acta, 1993
• Theory and practice in optical pH sensing
  Sensors and Actuators B: Chemical, 1993
• Rapid assessment of the adulteration of virgin olive oils by other seed oils using pyrolysis mass spectrometry and artificial neural networks
  Journal of the Science of Food and Agriculture, 1993
• Properties of neural networks with applications to modelling non-linear dynamical systems
  International Journal of Control, 1992
• A comparison of the backpropagation and recursive prediction error algorithms for training neural networks
  Mechanical Systems and Signal Processing, 1991
• Towards a gastric pH-sensor: an optrode for the pH 0–7 range
  Analytical and Bioanalytical Chemistry, 1989