A low-cost neuroprocessor board for emulating the SOFM neural model

Author

Martin-del-Brio, Bonifacio ; Medrano-Marqués, Nicolás ; Hernández-Sánchez, Sergio

Author_Institution

Dept. de Ingenieria Electron. y Comunicaciones, Zaragoza Univ., Spain

Volume

3

fYear

1998

fDate

1998

Firstpage

297

Abstract

In this paper, the design and implementation of a low-cost PC-board for emulating the self-organising map neural model is shown. This neuroprocessor, based on Xilinx´s FPGAs, is built and tested, and its performance is analysed and compared to computer simulations. The resulting neuroboard is just a first step towards the development of a general purpose neuroemulator based on FPGAs, in which the reconfiguration properties of these programmable logic devices will be broadly exploited

Keywords

coprocessors; field programmable gate arrays; logic design; performance evaluation; self-organising feature maps; virtual machines; SOFM neural model; SRAM; Xilinx´s FPGA; computer simulation; design; low-cost PC-board; neuroboard; neuroprocessor board; programmable logic devices; reconfiguration properties; self-organising map neural model; Artificial neural networks; Computational modeling; Computer simulation; Costs; Field programmable gate arrays; Hardware; Neurons; Random access memory; Testing; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 1998 IEEE International Conference on

Conference_Location

Lisboa

Print_ISBN

0-7803-5008-1

Type

conf

DOI

10.1109/ICECS.1998.813994

Filename

813994