DocumentCode
2777163
Title
Spherical Neural Networks and some applications
Author
Vallejo, Jose Refugio
Author_Institution
Univ. of Guanajuato, Guanajuato
fYear
0
fDate
0-0 0
Firstpage
4346
Lastpage
4349
Abstract
This paper presents a definition of spherical neural networks a natural extension to traditional neural networks using the framework of the geometric Clifford algebras. This extension allows us to describe appropriately the objects with spherical or cylindrical structure in the conformal geometric algebra. We present an application to separate information in the interior from information in the exterior of spherical or cylindrical structures.
Keywords
algebra; geometry; neural nets; conformal geometric algebra; geometric Clifford algebras; spherical neural networks; Algebra; Computational efficiency; Computer networks; Equations; Matrices; Multidimensional systems; Neural networks; Particle separators; Physics; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9490-9
Type
conf
DOI
10.1109/IJCNN.2006.247011
Filename
1716700
Link To Document