VLSI implementation of an inference processor for approximate reasoning

This report outlines the design and implementation of a prototype fuzzy inference processor (FIP) using Xilinx field programmable gate arrays (FPGAs). The fuzzy rules are represented as pre-computed relation matrices and the fuzzy input variables are considered to be in the form of fuzzy singletons....

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Main Author:	Ho, Jiun Sien.
Other Authors:	Lim, Meng Hiot
Format:	Theses and Dissertations
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/19741
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-19741
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spelling	sg-ntu-dr.10356-197412023-07-04T15:42:19Z VLSI implementation of an inference processor for approximate reasoning Ho, Jiun Sien. Lim, Meng Hiot School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This report outlines the design and implementation of a prototype fuzzy inference processor (FIP) using Xilinx field programmable gate arrays (FPGAs). The fuzzy rules are represented as pre-computed relation matrices and the fuzzy input variables are considered to be in the form of fuzzy singletons. This simplifies the inferencing process significantly and results in hardware architecture that is less complex. Master of Engineering 2009-12-14T06:33:25Z 2009-12-14T06:33:25Z 1995 1995 Thesis http://hdl.handle.net/10356/19741 en NANYANG TECHNOLOGICAL UNIVERSITY 98 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Ho, Jiun Sien. VLSI implementation of an inference processor for approximate reasoning
description	This report outlines the design and implementation of a prototype fuzzy inference processor (FIP) using Xilinx field programmable gate arrays (FPGAs). The fuzzy rules are represented as pre-computed relation matrices and the fuzzy input variables are considered to be in the form of fuzzy singletons. This simplifies the inferencing process significantly and results in hardware architecture that is less complex.
author2	Lim, Meng Hiot
author_facet	Lim, Meng Hiot Ho, Jiun Sien.
format	Theses and Dissertations
author	Ho, Jiun Sien.
author_sort	Ho, Jiun Sien.
title	VLSI implementation of an inference processor for approximate reasoning
title_short	VLSI implementation of an inference processor for approximate reasoning
title_full	VLSI implementation of an inference processor for approximate reasoning
title_fullStr	VLSI implementation of an inference processor for approximate reasoning
title_full_unstemmed	VLSI implementation of an inference processor for approximate reasoning
title_sort	vlsi implementation of an inference processor for approximate reasoning
publishDate	2009
url	http://hdl.handle.net/10356/19741
_version_	1772829007938584576

VLSI implementation of an inference processor for approximate reasoning

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