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Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007)
Novel Embryonic Array with Neural Network Characteristics
University of Edinburgh, Scotland, United Kingdom
August 05-August 08
ISBN: 0-7695-2866-X
ASCII Text
x 
 
M. Samie, G. Dragffy, J. Kiely, "Novel Embryonic Array with Neural Network Characteristics," Adaptive Hardware and Systems, NASA/ESA Conference on, pp. 420-430, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007.
 
 
BibTex
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@article{ 10.1109/AHS.2007.80,
author = {M. Samie and G. Dragffy and J. Kiely},
title = {Novel Embryonic Array with Neural Network Characteristics},
journal ={Adaptive Hardware and Systems, NASA/ESA Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2866-X},
pages = {420-430},
doi = {http://doi.ieeecomputersociety.org/10.1109/AHS.2007.80},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Adaptive Hardware and Systems, NASA/ESA Conference on
TI - Novel Embryonic Array with Neural Network Characteristics
SN - 0-7695-2866-X
SP420
EP430
A1 - M. Samie,
A1 - G. Dragffy,
A1 - J. Kiely,
PY - 2007
KW - null
VL - 0
JA - Adaptive Hardware and Systems, NASA/ESA Conference on
ER -
 
M. Samie, Technical Department, IRIB, Iran
G. Dragffy, University of the West of England, UK
J. Kiely, University of the West of England, UK
This paper introduces a novel design approach for embryonic arrays that is able to employ all three axial characteristics of living beings: Phylogeny, 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.
Citation:
M. Samie, G. Dragffy, J. Kiely, "Novel Embryonic Array with Neural Network Characteristics," ahs, pp.420-430, Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007
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