Hardware for a new fuzzy-based modeling system and its redundancy

Author

Murakami, Masayuki ; Honda, Nakaji

Author_Institution

Dept. of Syst. Eng., Univ. of Electro-Commun., Tokyo, Japan

Volume

2

fYear

2004

fDate

27-30 June 2004

Firstpage

599

Abstract

The active learning method (ALM) is a new methodology of soft computing. The ALM has processing engines called IDS´s, which are tasked with extracting useful information from a system subject to modeling. In realizing the hardware for ALM, it is desirable in terms of processing nature, performance, and robustness to utilize dedicated hardware for the IDS. A high performance IDS processing unit that meets these requirements was developed. In this paper, outlines of the new IDS hardware and performance test results are presented. This paper also deals with the fault tolerance of ALM systems.

Keywords

brain; fault tolerant computing; fuzzy systems; image processing; information retrieval; learning (artificial intelligence); redundancy; active learning method; fault tolerance; fuzzy-based modeling system; information extraction; ink drop space; soft computing; Computational modeling; Fault tolerant systems; Hardware; High performance computing; Humans; Information processing; Intrusion detection; Learning systems; Redundancy; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the

Print_ISBN

0-7803-8376-1

Type

conf

DOI

10.1109/NAFIPS.2004.1337369

Filename

1337369