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Neural Network Structure with Alternating Input Training Sets for Recognition of Marble Surfaces

Authors:
Irina Topalova
Magdalina Uzunova

Keywords: neural network; recognition; texture; preprocessing

Abstract:
The automated recognition of marble slab surface textures is an important task in the contemporary marble tiles production. The simplicity of the applied methods corresponds with fast processing, which is important for real-time applications. In this research a supervised learning of a multi-layered neural network is proposed and tested. Aiming high recognition accuracy, combined with simple preprocessing, the neural network is trained with different alternating input training sets including combination of high correlated and de-correlated input data. The obtained good results in the recognition stage are represented and discussed, further research is proposed.

Pages: 40 to 44

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-555-5

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017