DocumentCode
3291802
Title
Neural network detection
Author
Ulanova, E.A. ; Nesteruk, D.A.
Author_Institution
Tomsk Polytech. Univ., Tomsk
fYear
2008
fDate
24-28 March 2008
Firstpage
122
Lastpage
125
Abstract
As is well known, neural network (NN) architecture is inspected by biology and they offer interesting properties for thermographic analysis and other fields as well, since they are adaptive and robust. A neural network (NN) is a highly interconnected set of small processors, each of which has a small memorization capability they learned from information submitted to them in the first place. Generally, the network is divided into layers and the parallel nature of NNs make them well suited to work on multiparameter problems.
Keywords
Hopfield neural nets; neural net architecture; Hopfield-Kohonen growing cell structure; memorization capability; neural network architecture; neural network detection; Aluminum; Character generation; Clouds; Corrosion; Nanoparticles; Neural networks; Neurons; Propulsion; Solids; Toxicology;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Technique and Technologies, 2008. MTT 2008. International Conference
Conference_Location
Tomsk
Print_ISBN
978-1-4244-1609-7
Type
conf
DOI
10.1109/SPCMTT.2008.4897517
Filename
4897517
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