DocumentCode
375513
Title
VLSI implementation of a neural network for solving linear second order parabolic PDE
Author
Moon, Sung T. ; Xia, Bo ; Spencer, Ronald G. ; Han, Gunhee ; Sánchez-Sinencio, Edgar
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
836
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
Keywords
VLSI; cellular neural nets; neural chips; partial differential equations; time division multiplexing; VLSI; accuracy; area efficient solution; cellular neural network; circuit architecture; circuit performance; linear second order parabolic partial differential equations; throughput; time-multiplexing scheme; Capacitors; Cellular neural networks; Circuit simulation; Hardware; Moon; Neural networks; Partial differential equations; Switches; Throughput; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
Conference_Location
Lansing, MI
Print_ISBN
0-7803-6475-9
Type
conf
DOI
10.1109/MWSCAS.2000.952885
Filename
952885
Link To Document