In this study, a new generalized regression neural network model for predicting the curing
characteristics of rubber blends with different contents of carbon black filler cured at various …

In this article, we examine the use of sensitivity analysis for the optimization of selected
physical properties in rubber compounds and determine objective criteria which allow for the …

Modelling the flow properties of rubber blends makes it possible to predict their rheological
behaviour during the processing and production of rubber-based products. As the nonlinear …

In the rubber industry, rheometric properties are critical in defining processing times and
temperatures. These parameters of rubber compounds are determined by time-consuming …

Experimental determination of mechanical properties of rubber composites, such as tensile
strength and hardness, involves complex multistage preparation procedures that are …

In the rubber industry, rheometric properties are critical in defining processing times and
temperatures. These parameters of rubber compounds are determined by time-consuming …

Large scale machine learning is on the rise due to the various advancements in technology.
Multiple industries are pushing to become smarter as fast as possible. This paper …