VLSI implementation of a neural network for solving linear second order parabolic PDE
- Moon, S.T.; Xia, B.; Spencer, R.G.; Gunhee Han; Sanchez-Sinencio, E.
Dept. of Electr. Eng., Texas A&M; Univ., College Station, TX, USA
This paper appears in: Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
On page(s): 836 - 839 vol.2
8-11 Aug. 2000
Lansing, MI, USA
2000
Volume: 2
ISBN: 0-7803-6475-9
IEEE Catalog Number: CH37144
Number of Pages: 3 vol.xlix+1437
References Cited: 6
INSPEC Accession Number: 7174988

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Abstract:
Proposes 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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Index Terms:
VLSI; cellular neural nets; partial differential equations; time division multiplexing; neural chips; VLSI; cellular neural network; linear second order parabolic partial differential equations; circuit architecture; accuracy; throughput; time-multiplexing scheme; area efficient solution; circuit performance