The state of the art in machine vision inspection and a critical overview of real-world
applications are presented in this paper. Two independent ways to classify applications are …

Wood-based composites are increasingly used in the industry not only because of the
shortage of solid wood, but above all because of the better properties, such as high strength …

This paper presents an overview of four algorithms used for training multilayered perceptron
(MLP) neural networks and the results of applying those algorithms to teach different MLPs …

Surface quality of solid wood is very important for its effective utilization in further
manufacturing processes. In this study, the effects of wood species, feed rate, number of …

A classification algorithm based on LBP and local binary differential excitation pattern is
presented for the classification of the crack and the linear mineral line on the surface of the …

Determining the modulus of elasticity of wood by applying an artificial neural network using
the physical properties and non-destructive testing can be a useful method in assessments …

The size and training parameters of artificial neural networks have a critical effect on their
performance. This paper presents the application of the Taguchi Design of Experiments …

In this paper, we present an automatic system and algorithms for the classification of marble
slabs into different groups in real time in production line, according to slabs quality. The …

In the present work, an artificial neural network (ANN) model was developed for predicting
the effects of some production factors such as adhesive ratio, press pressure and time, and …

In this study, an artificial neural network (ANN) approach was employed for modeling the
moisture absorption (MA) and thickness swelling (TS) properties of oriented strand board …