Title :
Novel Embryonic Array with Neural Network Characteristics
Author :
Samie, M. ; Dragffy, G. ; Kiely, J.
Author_Institution :
IRIB, Tehran
Abstract :
This paper introduces a novel design approach for embryonic arrays that is able to employ all three axial characteristics of living beings: phytogeny, ontogeny, and epigenesis. Rather than using multiplexer based binary decision diagrams (BDD) it utilizes the K/N digital neurons to define the functionality of the cells. A special neural network design technique that uses Voronoi diagram (VoD) will be employed that enables neural network array-like configuration of embryonic arrays. Additionally, learning ability, geometrical extraction of genome, gate level configuration, large number of minterm and sum of products (SOP) generation for its constituent cells are some of the other advantages of the technique.
Keywords :
computational geometry; field programmable gate arrays; neural nets; K/N digital neurons; Voronoi diagram; embryonic array; epigenesis; gate level configuration; geometrical genome extraction; learning ability; minterm; neural network characteristics; ontogeny; phytogeny; sum of products generation; Bioinformatics; DNA; Embryo; Euclidean distance; Field programmable gate arrays; Genomics; Hardware; Neural networks; Neurons; Phylogeny;
Conference_Titel :
Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-7695-2866-3
DOI :
10.1109/AHS.2007.80