Abstract
A multilayer feed-forward artificial neural network has been utilized to model the input-output data of an optical-fibre pH sensor. An experiment to generate the optical response spectrum and network application is described. Responses from several wavelengths of the spectrum are used as the input data for the neural network, which enables the measurement of pH in the range 1.60–10.18, with maximum error of about 0.3. The neural network tested with noisy data produces an average error of 0.2 pH units for additive noise levels of up to 13% of the input signal.
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