An artificial neural network (ANN)-based pattern recognition method is adopted for conducting polymer (CP) sensors. The method is capable of creating different patterns and models based on an on-line data collection f...
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An artificial neural network (ANN)-based pattern recognition method is adopted for conducting polymer (CP) sensors. The method is capable of creating different patterns and models based on an on-line data collection from a multichannel analog/digital (AD) device. The flow of information is directed from the surface of the CP electrode into an AD device which is connected to an ANN-trained computer. The ANN software (Turbo Neuron) used in this study accepts the data as its inputs and creates the best possible patterns, based on pre-selected parameters, to classify the type of ions existing in the operational environment. The method is recommended to be used in the field of CPs where passive analytical methods have not been successful in addressing reusability of the CP electrodes.
Conducting polypyrrole/polyaniline colloidal composites have been prepared by deposition of the solution mixture of polypyrrole and polyaniline at negative potentials. Different substrates were dipped in the solution ...
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Conducting polypyrrole/polyaniline colloidal composites have been prepared by deposition of the solution mixture of polypyrrole and polyaniline at negative potentials. Different substrates were dipped in the solution containing the mixture together with acrylic latex and after drying the adhesive strength and electroactivity of the paint were studied. Several colloidal composite based coatings were investigated. At last a computer facilitated with powerful artificial neural network based algorithms classified the paints.
A composite of two conducting polymers, polyaniline and polypyrrole, could result in much improved physical properties with respect to their applications in pH electrodes and conducting paints/coatings. However, the c...
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A composite of two conducting polymers, polyaniline and polypyrrole, could result in much improved physical properties with respect to their applications in pH electrodes and conducting paints/coatings. However, the composite has time dependant properties that made the use of dynamic computational algorithms necessary to control its behaviour. We used a sandwich-modified electrode as a pH-sensing electrode, which was integrated with a pre-trained computer for data processing and knowledge discovery. Conducting polypyrrole/polyaniline colloidal composites have been also prepared by deposition of the mixture solution of polypyrrole and polyaniline at negative potentials. Different substrates were dipped in the solution containing the mixture together with an acrylic latex and after drying the adhesive strength and electroactivity of the paint were studied. Several colloidal composite based coatings were investigated. At last a computer facilitated with powerful artificial neural network based algorithms classified the paints.
A composite of two conducting polymers, polyaniline and polypyrrole, could result in much improved physical properties with respect to their applications in pH electrodes and conducting paints/coatings. However, the c...
A composite of two conducting polymers, polyaniline and polypyrrole, could result in much improved physical properties with respect to their applications in pH electrodes and conducting paints/coatings. However, the composite has time dependant properties that made the use of dynamic computational algorithms necessary to control its behaviour. We used a sandwich-modified electrode as a pH-sensing electrode, which was integrated with a pre-trained computer for data processing and knowledge discovery. Conducting polypyrrole/polyaniline colloidal composites have been also prepared by deposition of the mixture solution of polypyrrole and polyaniline at negative potentials. Different substrates were dipped in the solution containing the mixture together with an acrylic latex and after drying the adhesive strength and electroactivity of the paint were studied. Several colloidal composite based coatings were investigated. At last a computer facilitated with powerful artificial ncural network based algorithms classified the paints.
The development of a new polymeric composite interface is introduced for pH sensing application. The composite pH/R profile is compared with two other non-composite polymeric materials. It is noted that the composite ...
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