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Carbon Tissue - Crossref

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Last Updated: 10 January 2023

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Efficiency testing of artificial neural networks in predicting the properties of carbon nanomaterials as potential systems for nervous tissue stimulation and regeneration

Abstract The use of electrophoretic deposition on a metal surface was investigated for a novel way of predicting the properties of carbon nanotubes and graphene oxide. The selection of neural networks as predictive learning tools is based on many studies in the literature that identify neural networks as accurate interpretations of real-life processes. The use of a neural network model can reduce experiments with unpromising methods of system processing and preparation. The planned method of predictive learning of carbon nanomaterial properties is both simple and cost-effective, according to the results.

Source link: https://doi.org/10.1515/bams-2016-0025

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* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions