Title :
Analogic algorithms running on the CNN Universal Machine
Author_Institution :
Analogical & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest, Hungary
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;
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
DOI :
10.1109/CNNA.1994.381710
