Extending the response range of an optical fibre pH sensor using an artificial neural network
- 1 August 1996
- journal article
- Published by Elsevier in Analytica Chimica Acta
- Vol. 330 (1) , 31-40
- https://doi.org/10.1016/0003-2670(96)00149-3
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- Neural network approach to qualitative identification of fuels and oils from laser induced fluorescence spectraAnalytica Chimica Acta, 1994
- Simulation of polysaccharide carbon-13 nuclear magnetic resonance spectra using regression analysis and neural networksAnalytical Chemistry, 1993
- Prediction of infrared spectra from chemical structures of organic compounds using neural networksChemometrics and Intelligent Laboratory Systems, 1993
- Application of the artificial neural network approach to the recognition of specific patterns in Auger electron spectroscopySurface and Interface Analysis, 1993
- Multiple-indicator fiber-optic sensor for high-resolution pCO2 sea water measurementsAnalytica Chimica Acta, 1993
- Theory and practice in optical pH sensingSensors 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 networksJournal of the Science of Food and Agriculture, 1993
- Properties of neural networks with applications to modelling non-linear dynamical systemsInternational Journal of Control, 1992
- A comparison of the backpropagation and recursive prediction error algorithms for training neural networksMechanical Systems and Signal Processing, 1991
- Towards a gastric pH-sensor: an optrode for the pH 0–7 rangeAnalytical and Bioanalytical Chemistry, 1989