The Study of Machine Learning Assisted the Design of Selected Composites Properties

One of the basic points Industry 5.0 is to make industry sustainable. There a need develop circular processes that reuse, repurpose, and recycle natural resources, thus, reduce waste. This part can also include composite materials, which were used for some time in many areas. An essential feature their applicability properties these materials. The ratio individual components determines artificial intelligence machine learning (ML) techniques are already determine optimal ratio. ML be briefly described as computer science uses existing data predict future data. approach made possible by current possibilities collecting analysing large amount It improves chance finding more variable influences (predictors) processes. These factors quantified objectively; mutual interactions identified, and, thanks longer-term sampling, development behavior predictively modelled. present article deals with possibility applying predicting absorption material, consists thermoplastic matrix recycled polyvinyl butyral (PVB), obtained after recycling car glass windshields.