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September 5, 2025Nonlinear World

Validation of a universal computational express method for developing a neural network model to evaluate the properties of PVC composites

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The neural network model accurately predicts the properties of PVC composites with a relative prediction error of 7.8%.
A universal computational method was developed and tested, achieving a prediction error of no more than 9%.
Data included six characteristics like recycled PVC content, influencing the mechanical properties of composites.
This method can significantly reduce time and resources needed for developing predictive models in materials science.

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Computational method predicts properties of PVC composites, suggesting a new approach for material assessment.

Мухутдинов et al. (2025) studied this question.

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