INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, vol.41, no.3, pp.419-430, 2001 (SCI-Expanded)
Article / Article
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
Science Citation Index Expanded (SCI-EXPANDED), Scopus
multilayered perceptrons, training algorithms, control chart pattern recognition, wood inspection, IMAGES
Gazi University Affiliated:
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 to recognise control chart patterns and classify wood veneer defects. The algorithms studied are Backpropagation (BP), Quick-prop (QP), Delta-Bar-Delta (DBD) and Extended-Delta-Bar-Delta (EDBD). The results show that, overall, BP was the best algorithm for the two applications tested. (C) 2001 Elsevier Science Ltd. All rights reserved.