Using the GREMLIN for digital FIR networks

Author

Diepenhorst, M. ; Jansen, W.J. ; Nijhuis, J.A.G. ; Schreiner, M. ; Spaanenburg, L. ; Ypma, A.

Author_Institution

Dept. of Comput. Sci., Groningen Univ., Netherlands

fYear

1996

fDate

12-14 Feb 1996

Firstpage

341

Lastpage

346

Abstract

Time-delay neural networks are well-suited for prediction purposes. A particular implementation is the Finite Impulse Response neural net. The GREMLIN architecture is introduced to accommodate such networks. It can be micropipelined to achieve a 85 MCPS performance on a conventional connection-serial structure and allows from its Logic-Enhance Memory nature an easily parametrized design. A typical design for biomedical applications can be trained in a Cascade fashion and subsequently mapped

Keywords

cascade networks; delay circuits; neural chips; pipeline processing; GREMLIN; biomedical applications; cascade fashion; connection-serial structure; digital FIR networks; logic-enhance memory nature; micropipelined architecture; parametrized design; time-delay neural networks; Auditory system; Biological processes; Biological system modeling; Computer architecture; Delay; Finite impulse response filter; Information filtering; Information filters; Muscles; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on

Conference_Location

Lausanne

ISSN

1086-1947

Print_ISBN

0-8186-7373-7

Type

conf

DOI

10.1109/MNNFS.1996.493813

Filename

493813