DocumentCode
2517046
Title
Analogic algorithms running on the CNN Universal Machine
Author
Roska, Tamás
Author_Institution
Analogical & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest, Hungary
fYear
1994
fDate
18-21 Dec 1994
Firstpage
3
Lastpage
8
Abstract
In this paper first we classify the analogic CNN algorithms; instructions, subroutines, and programs. The complexity of analogic algorithms is defined based on Chaitin´s definition of algorithmic computational complexity for digital algorithms. The algorithmic design and implementation phases are analyzed. It is shown how the analogic CNN algorithms are related to the living sensory systems
Keywords
analogue computer programming; cellular neural nets; computational complexity; temporal logic; CNN Universal Machine; algorithmic computational complexity; analogic CNN algorithms; complexity; instructions; living sensory systems; subroutines; Algorithm design and analysis; Cellular neural networks; Failure analysis; Laboratories; Logic; Minimization methods; Neuromorphics; Pattern analysis; Spatiotemporal phenomena; Turing machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location
Rome
Print_ISBN
0-7803-2070-0
Type
conf
DOI
10.1109/CNNA.1994.381710
Filename
381710
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