DocumentCode
3251115
Title
A virtual network for reorganizable neural architectures
Author
Wong, C.Y. ; Lursinsap, C.
Author_Institution
Center for Adv. Comput. Studies, Univ. of Southwestern Louisiana, Lafayette, LA, USA
fYear
1989
fDate
0-0 1989
Abstract
Summary form only given. The authors propose a hardware-implementable, virtually connected, reconfigurable network architecture that has a high degree of fault tolerance. This architecture provides the neurons the ability of self-organization, and a neuron can establish a new synaptic connection that can be either excitatory or inhibitory, replacing a weakened old synapse. Cells are grouped into small partitions called cell cluster, and the communications among cells are limited within their influence regions. A message broadcasting algorithm which effectively limits the reach of the cells within their influence regions is described, and some illustrations of the fault tolerance characteristic of the architecture are given. By combining the cell clusters with the communication algorithm, a network with virtually no limit in size can be constructed.<>
Keywords
fault tolerant computing; neural nets; parallel architectures; virtual machines; cell cluster; fault tolerance; message broadcasting algorithm; neural nets; reorganizable neural architectures; synaptic connection; virtual network; Computer fault tolerance; Neural networks; Parallel architectures; Virtual computers;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118402
Filename
118402
Link To Document