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
Link To Document :
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