Cellular automata, tendencies and results

Author

Vlasov, P.A.

Author_Institution

Res. Inst. of CAD Syst. of VLSI, Acad. of Sci., Moscow, Russia

fYear

1992

Firstpage

1227

Abstract

Cellular automata provide a convenient philosophical and mathematical background for the analysis and description of parallel algorithms and of biocomputing and cellular neural networks with extremely high processing speeds and cell densities. Theorems pertaining to cellular automata are presented. Cellular automata can be used for the calculation of linear differential operators represented in the form of finite differences, and thus for solving differential equations on integer grids. In addition, cellular rules for graphic operations on cellular automata with a small number of states have been found

Keywords

biocomputers; cellular automata; differential equations; neural nets; parallel algorithms; biocomputing; cell densities; cellular automata; cellular neural networks; differential equations; finite differences; graphic operations; high processing speeds; integer grids; linear differential operators; parallel algorithms; Algorithm design and analysis; Cellular neural networks; Computer simulation; Hardware; Nonlinear equations; Parallel algorithms; Quantum mechanics; Radio frequency; State-space methods; Topology;

fLanguage

English

Publisher

ieee

Conference_Titel

Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on

Conference_Location

Rostov-on-Don

Print_ISBN

0-7803-0809-3

Type

conf

DOI

10.1109/RNNS.1992.268509

Filename

268509