Use this url to cite publication: https://hdl.handle.net/20.500.14911/125477
Building materials recognition using neural networks
Publication Type (CRIS)
Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)
Publication Type (eLABa)
Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)
Title
Building materials recognition using neural networks
Daiva Makutėnienė, Vytautas Plakys, Minvidas Vinickas
Is part of
10th International Conference on Engineering Graphics BALTGRAF-10 June 4-5, 2009, Vilnius, Lithuania
Published In
| Year | Start Page | End Page |
|---|---|---|
2009 | 100 | 105 |
Publisher
Vilnius : Technika, 2009
Extent
p. 100-105
Science / Art Area
Technologijos mokslai / Technological sciences (T)
Field of Science / Art
Informatikos inžinerija / Informatics engineering (T007)
Abstract (en)
An artificial neural network is a system based on the operation of biological neural networks, in other words, is an emulation of biological neural system. It consists of an interconnected group of artificial neurons and processes information using a connection approach to computation. In most cases an artificial neural network is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. In this paper a building material texture recognition system using neural network is described.
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Lietuva / Lithuania (LT)
Owning collection
ISBN (of the container)
9789955284529
eLABa ID
3895730