DocumentCode
3630288
Title
Neuronal groups and interrelations
Author
Michal Pryczek
Author_Institution
Institute of Computer Science, Technical University of Lodz, Wolczanska 215, 90-924, Poland
fYear
2008
Firstpage
221
Lastpage
227
Abstract
Recent development of various domains of Artificial Intelligence including Information Retrieval and Text/Image Understanding created demand on new, sophisticated, contextual methods for data analysis. This article formulates Neuronal Group and Extended Neuron Somatic concepts that can be vastly used in creating such methods. Neural interrelations are described using graphs, construction of which is done in parallel with neural network learning. Prototype technique based on Growing Neural Gas is also presented to give more detailed view.
Keywords
"Pattern recognition","Extraterrestrial measurements","Kernel","Computer science","Information retrieval","Image retrieval","Prototypes","Pattern analysis","Feature extraction","Information technology"
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2008. IMCSIT 2008. International Multiconference on
Print_ISBN
978-83-60810-14-9
Type
conf
DOI
10.1109/IMCSIT.2008.4747243
Filename
4747243
Link To Document