Title :
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
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;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.519288
