VLSI implementation of a neural network for solving linear second order parabolic PDE

Sung T. Moon; Bo Xia; Ronald G. Spencer; Gunhee Han; Edgar Sánchez-Sinencio

VLSI implementation of a neural network for solving linear second order parabolic PDE

Sung T. Moon, Bo Xia, Ronald G. Spencer, Gunhee Han, Edgar Sánchez-Sinencio

School of Integrated Technology

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

We have proposed an implementation of a cellular neural network to solve linear second order parabolic partial differential equations. This paper describes the underlying theory, circuit architecture and techniques employed to improve accuracy and throughput. A modified time-multiplexing scheme is applied to provide an area efficient solution. Simulation results and comparison are also included to illustrate the circuit performance.

Original language	English
Pages	836-839
Number of pages	4
Publication status	Published - 2000
Event	43rd Midwest Circuits and Systems Conference (MWSCAS-2000) - Lansing, MI, United States Duration: 2000 Aug 8 → 2000 Aug 11

Other

Other	43rd Midwest Circuits and Systems Conference (MWSCAS-2000)
Country/Territory	United States
City	Lansing, MI
Period	00/8/8 → 00/8/11

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Cite this

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title = "VLSI implementation of a neural network for solving linear second order parabolic PDE",

abstract = "We have proposed an implementation of a cellular neural network to solve linear second order parabolic partial differential equations. This paper describes the underlying theory, circuit architecture and techniques employed to improve accuracy and throughput. A modified time-multiplexing scheme is applied to provide an area efficient solution. Simulation results and comparison are also included to illustrate the circuit performance.",

author = "Moon, {Sung T.} and Bo Xia and Spencer, {Ronald G.} and Gunhee Han and Edgar S{\'a}nchez-Sinencio",

year = "2000",

language = "English",

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note = "43rd Midwest Circuits and Systems Conference (MWSCAS-2000) ; Conference date: 08-08-2000 Through 11-08-2000",

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T1 - VLSI implementation of a neural network for solving linear second order parabolic PDE

AU - Moon, Sung T.

AU - Xia, Bo

AU - Spencer, Ronald G.

AU - Han, Gunhee

AU - Sánchez-Sinencio, Edgar

PY - 2000

Y1 - 2000

N2 - We have proposed an implementation of a cellular neural network to solve linear second order parabolic partial differential equations. This paper describes the underlying theory, circuit architecture and techniques employed to improve accuracy and throughput. A modified time-multiplexing scheme is applied to provide an area efficient solution. Simulation results and comparison are also included to illustrate the circuit performance.

AB - We have proposed an implementation of a cellular neural network to solve linear second order parabolic partial differential equations. This paper describes the underlying theory, circuit architecture and techniques employed to improve accuracy and throughput. A modified time-multiplexing scheme is applied to provide an area efficient solution. Simulation results and comparison are also included to illustrate the circuit performance.

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M3 - Paper

AN - SCOPUS:0034464470

SP - 836

EP - 839

T2 - 43rd Midwest Circuits and Systems Conference (MWSCAS-2000)

Y2 - 8 August 2000 through 11 August 2000

ER -

VLSI implementation of a neural network for solving linear second order parabolic PDE

Abstract

Other

All Science Journal Classification (ASJC) codes

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