Polymerization process can be classified as a nonlinear type process since it exhibits a
dynamic behaviour throughout the process. Therefore, it is highly complicated to obtain an …

Artificial neural networks (ANNs) are comparatively straightforward to understand and use in
the analysis of scientific data. However, this relative transparency may encourage their use …

This review discusses how developments in laboratory technologies can push the
boundaries of what is achievable using existing polymer synthesis techniques. By making …

A new approach is demonstrated in which an Artificial Neural Network (ANN) was trained
with first-principles data to predict the chain length, polydispersity (Đ) and adiabatic …

This paper presents an original software implementation of the elitist non-dominated sorting
genetic algorithm (NSGA-II) applied and adapted to the multi-objective optimization of a …

An optimization methodology based on neural networks and genetic algorithms was
developed and used to optimize a real world process—an electro-coagulation process …

Up to now various kinds of fibers are used to improve the hot mix asphalt (HMA)
performance, but a few works have been undertaken on the hybrid fiber-reinforced HMA …

Artificial neural networks are widely used in data analysis and to control dynamic processes.
These tools are powerful and versatile, but the way in which they are constructed, in …

Acrylic fibers are synthetic fibers with wide applications. A couple of methods can be utilized
in their manufacture, one of which is the dry spinning process. The parameters in this …

The search capabilities of the Differential Evolution (DE) algorithm–a global optimization
technique–make it suitable for finding both the architecture and the best internal parameters …