Constructing intelligent microsystems with modular VLSI neural networks design

Bing J. Sheu

Constructing intelligent microsystems with modular VLSI neural networks design

Bing J. Sheu^*

^*Corresponding author for this work

University of Southern California

Research output: Contribution to journal › Conference article › peer-review

Abstract

VLSI neural networks can speed up the computation and signal processing by many orders of magnitude through compact, low-power parallel processing. Key microsystem design issues are critically addressed for successful industrial and scientific applications.

Original language	English
Pages (from-to)	2100-2103
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	3
State	Published - 1995
Externally published	Yes
Event	Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA Duration: 30 04 1995 → 03 05 1995

Cite this

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title = "Constructing intelligent microsystems with modular VLSI neural networks design",

abstract = "VLSI neural networks can speed up the computation and signal processing by many orders of magnitude through compact, low-power parallel processing. Key microsystem design issues are critically addressed for successful industrial and scientific applications.",

author = "Sheu, \{Bing J.\}",

year = "1995",

language = "英语",

volume = "3",

pages = "2100--2103",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) ; Conference date: 30-04-1995 Through 03-05-1995",

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TY - JOUR

T1 - Constructing intelligent microsystems with modular VLSI neural networks design

AU - Sheu, Bing J.

PY - 1995

Y1 - 1995

N2 - VLSI neural networks can speed up the computation and signal processing by many orders of magnitude through compact, low-power parallel processing. Key microsystem design issues are critically addressed for successful industrial and scientific applications.

AB - VLSI neural networks can speed up the computation and signal processing by many orders of magnitude through compact, low-power parallel processing. Key microsystem design issues are critically addressed for successful industrial and scientific applications.

UR - https://www.scopus.com/pages/publications/0029203846

M3 - 会议文章

AN - SCOPUS:0029203846

SN - 0271-4310

VL - 3

SP - 2100

EP - 2103

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3)

Y2 - 30 April 1995 through 3 May 1995

ER -

Constructing intelligent microsystems with modular VLSI neural networks design

Abstract

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