CMOS implementation of locally connected neural cells to solve the steady-state heat flow problem

Author

Yentis, R., Jr. ; Zaghloul, M.E.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA

Volume

1

fYear

1994

fDate

3-5 Aug 1994

Firstpage

503

Abstract

A locally connected neural network for solving a class of partial differential equations is designed and simulated with SPICE. Each neural cell is designed using active and passive components. An architecture is described to control the components. The CMOS VLSI implementation was fabricated and measured. A sixteen cell network is also simulated and measured to solve the steady-state heat flow problem and the results are compared to the numerical solution of the partial differential equation

Keywords

CMOS analogue integrated circuits; SPICE; VLSI; cellular neural nets; heat transfer; neural chips; neural net architecture; partial differential equations; CMOS VLSI; SPICE simulation; active components; architecture; design; locally connected neural cells; neural network; partial differential equations; passive components; steady-state heat flow; Circuits; Electronic mail; Neural networks; Partial differential equations; Semiconductor device modeling; Steady-state; Symmetric matrices; Telephony; Vectors; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on

Conference_Location

Lafayette, LA

Print_ISBN

0-7803-2428-5

Type

conf

DOI

10.1109/MWSCAS.1994.519288

Filename

519288