Title :
CMOS analog implementation of cellular neural network to solve partial differential equations with a microelectromechanical thermal interface
Author :
Rasmussen, Angela ; Zaghloul, M.E.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
Abstract :
A cellular neural network for solving a class of partial differential equations is presented. Each neural cell consists of a novel floating variable linear resistor, an amplifier, and a passive capacitor. The output of each cell is integrated with a microelectromechanical (MEMS) heater device that will be used for a thermal interface. The CMOS VLSI implementation of a nine cell network was designed and simulated. The results of this network are compared to the numerical solution of the partial differential equations.
Keywords :
CMOS analogue integrated circuits; VLSI; cellular neural nets; micromechanical devices; neural chips; partial differential equations; CMOS analog implementation; MEMS heater device; VLSI implementation; cellular neural network; floating variable linear resistor; microelectromechanical thermal interface; partial differential equations; Capacitors; Cellular neural networks; Circuits; Differential amplifiers; Mirrors; Partial differential equations; Power amplifiers; Power supplies; Resistors; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.662326
