A hardware supported system for a special online application of self-organizing map

Author

Fang, Xiang ; Thole, Peter ; Göppert, Josef ; Rosenstiel, Wolfgang

Author_Institution

Wilhelm-Schickard-Inst. fur Inf., Tubingen Univ., Germany

Volume

2

fYear

1996

fDate

3-6 Jun 1996

Firstpage

956

Abstract

In this paper we present a hardware supported system which enables the parallel computing of Euclidean distance with Kohonen´s self-organizing map (SOM) for a special online application. The hardware is implemented as neural coprocessors connected to a Sun workstation via a parallel interface. For the aim of the computing time requirement, a four step pipeline and parallelism are used. The algorithmic description of the hardware and a simulation environment have been written in VHDL. Field programmable gate arrays are used to implement these neural coprocessors. The system can be used in various applications of neural networks

Keywords

coprocessors; field programmable gate arrays; parallel architectures; pipeline processing; real-time systems; self-organising feature maps; Euclidean distance; Kohonen self-organizing map; Sun workstation; VHDL; field programmable gate arrays; hardware supported system; neural coprocessors; neural networks; parallel interface; Computational modeling; Concurrent computing; Coprocessors; Euclidean distance; Field programmable gate arrays; Hardware; Parallel processing; Pipelines; Sun; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1996., IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-7803-3210-5

Type

conf

DOI

10.1109/ICNN.1996.549026

Filename

549026