Approaches presented today in the scientific literature suggest that there are no
methodological solutions based on the training of artificial neural networks to predict the …

BACKGROUND Whole‐grain rice noodles are a kind of healthy food with rich nutritional
value, and their product quality has a notable impact on consumer acceptability. The quality …

In the case of industrial solutions, in the context of Industry 4.0, Artificial Neural Networks
(ANNs) currently dominate almost all tasks related to the optimisation of manufacturing …

The study focuses on detection of defects in the single-core electrical wire insulation by
changing the linear capacity of the electric wire. Numerical simulation was performed to …

In order to obtain quality cable products in the thermoplastic extrusion process, it is important
that during the polymer extrusion process, a melt that is homogenous in both temperature …

Polyethylene (PE) is well-known as the most prevalent polymer on the planet. PE foams, an
important closed-cell thermoplastic foam material, have a large number of pores inside its …

The impact of globalization and the recent advancements in Information and Communication
Technologies has pushed the manufacturing sector towards a new transformation. Current …

Bu çalışmada, enjektör imal eden bir firmanın taşlama makinesindeki insan faktörüne bağlı
ıskartaların azaltılması amaçlanmıştır. İnsan faktörüne bağlı ıskartalar, makinenin taş …

Öz Abstract Son zamanlarda yapay zekâ (YZ) tekniklerinin farklı alanlarda kullanımı ile ilgili
artan bir ilgi vardır. Bu çalışmada, halojen içermeyen alev geciktiricili (HFFR) kablolarda …

With the rapid development of industrial field data acquisition and storage systems, neural
networks have been widely used to handle complex nonlinear processes and establish data …