DocumentCode
1856911
Title
Modification of neural network by the self-organization method
Author
Neusipin, K.A. ; Sholohov, D.O.
Author_Institution
Bauman Moscow State Tech. Univ., Moscow
fYear
2009
fDate
27-28 March 2009
Firstpage
121
Lastpage
123
Abstract
Algorithm of modified neural network based on Volterra kind network with the weight coefficients formed by the self organization method was developed. Modified algorithm of neural network in comparison with usual algorithm needs less computer memory and also a shorter time period to complete, which is very important for onboard digital computers.
Keywords
self-organising feature maps; Volterra network; neural network; self-organization method; weight coefficient; Acceleration; Automatic control; Buildings; Communication system control; Computer networks; Control systems; Finishing; Navigation; Neural networks; Testing; Algorithm; method; neural network; self-organization;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Communications, 2009. SIBCON 2009. International Siberian Conference on
Conference_Location
Tomsk
Print_ISBN
978-1-4244-2007-0
Type
conf
DOI
10.1109/SIBCON.2009.5044840
Filename
5044840
Link To Document