Resumo

RAMIREZ AGUNDIS, Agustín; GADEA GIRONES, Rafael; COLOM PALERO, Ricardo  e  DIAZ CARMONA, Javier. A Mixed Hardware/Software SOFM Training System. Comp. y Sist. [online]. 2008, vol.11, n.4, pp.349-356. ISSN 2007-9737.

This paper describes the design of a training system for a Self-Organizing Feature Map (SOFM). The system design aims two goals. The first is to reduce the training processing time by exploiting the inherent neural networks (NNs) parallelism through the SOFM hardware implementation. The second goal is to provide versatility to the training process by means of pre- and post processing of input and output data using Matlab-Simulink, which is also used as the software platform. The system uses as a coprocessor an FPGA based board connected via PCI bus at the host PC. To illustrate the system functionality we developed an application to analyze the effects over the map of scattering size in randomly generated weight initial values. When compared with the software approach for the same application, our system reduces the training time in 89%.

Palavras-chave : Self Organizing Feature Map; Mixed Hardware/Software Implementation; Field Programmable Gate Array; Neural coprocessor.

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