A Neural Network Applied to Sensor Signal Processing: Determination of Copper in Water
Source abstract
Abstract
A neural network is applied to sensor signal processing in a novel ap proach to the determination of copper in reservoir water. The neural network performed well in determining the correct total of copper concentration in water when provided with only pH and copper(II) ion-selective electrode experimental data. This task followed an initial period of network exposure to a set of experimental data triplets, which were used as examples of the required input/output data mapping.
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Research context
OpenAlex topics: Neural Networks and Applications · Advanced Chemical Sensor Technologies · Fault Detection and Control Systems
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Affiliations
Sensor Science and Engineering Group University of South Australia The Levels, Pooraka 5095 South Australia
References (9)
Show source-provided references
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