Analog circuits for VLSI neural networks

Rapid advances in the semiconductor industry have provided the technologies for the implementation of millions of transistors on a single chip. Thus, state-of-the-art VLSI technology and future ULSI (Ultra Large Scale Integration) technologies are, and will be. a good implementation medium for artif...

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Main Author:	Lee, See Taur.
Other Authors:	Lau, Kim Teen
Format:	Theses and Dissertations
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits
Online Access:	http://hdl.handle.net/10356/19749
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-19749
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spelling	sg-ntu-dr.10356-197492023-07-04T15:54:06Z Analog circuits for VLSI neural networks Lee, See Taur. Lau, Kim Teen School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits Rapid advances in the semiconductor industry have provided the technologies for the implementation of millions of transistors on a single chip. Thus, state-of-the-art VLSI technology and future ULSI (Ultra Large Scale Integration) technologies are, and will be. a good implementation medium for artificial neural network circuits. The complexity of a single chip and the clock frequency of a system may not increase unchecked, therefore restricting the maximum performance of sequential computers. The artificial neural network is one of many approaches to enhance the computational capabilities in high-speed information processing. Master of Engineering 2009-12-14T06:33:49Z 2009-12-14T06:33:49Z 1995 1995 Thesis http://hdl.handle.net/10356/19749 en NANYANG TECHNOLOGICAL UNIVERSITY 156 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::Electronic circuits
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits Lee, See Taur. Analog circuits for VLSI neural networks
description	Rapid advances in the semiconductor industry have provided the technologies for the implementation of millions of transistors on a single chip. Thus, state-of-the-art VLSI technology and future ULSI (Ultra Large Scale Integration) technologies are, and will be. a good implementation medium for artificial neural network circuits. The complexity of a single chip and the clock frequency of a system may not increase unchecked, therefore restricting the maximum performance of sequential computers. The artificial neural network is one of many approaches to enhance the computational capabilities in high-speed information processing.
author2	Lau, Kim Teen
author_facet	Lau, Kim Teen Lee, See Taur.
format	Theses and Dissertations
author	Lee, See Taur.
author_sort	Lee, See Taur.
title	Analog circuits for VLSI neural networks
title_short	Analog circuits for VLSI neural networks
title_full	Analog circuits for VLSI neural networks
title_fullStr	Analog circuits for VLSI neural networks
title_full_unstemmed	Analog circuits for VLSI neural networks
title_sort	analog circuits for vlsi neural networks
publishDate	2009
url	http://hdl.handle.net/10356/19749
_version_	1772826558439882752

Analog circuits for VLSI neural networks

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