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2004 NASA/DoD Conference on Evolvable Hardware (EH'04)
Towards Evolvable Analog Artificial Neural Networks Controllers
Seattle, Washington, USA
June 24-June 26
ISBN: 0-7695-2145-2
ASCII Text
x 
 
J. F. M. Amaral, J. L. M. Amaral, C. Santini, R. Tanscheit, M. Vellasco, M. Pacheco, "Towards Evolvable Analog Artificial Neural Networks Controllers," Evolvable Hardware, NASA/DoD Conference on, pp. 46, 2004 NASA/DoD Conference on Evolvable Hardware (EH'04), 2004.
 
 
BibTex
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@article{ 10.1109/EH.2004.1310808,
author = {J. F. M. Amaral and J. L. M. Amaral and C. Santini and R. Tanscheit and M. Vellasco and M. Pacheco},
title = {Towards Evolvable Analog Artificial Neural Networks Controllers},
journal ={Evolvable Hardware, NASA/DoD Conference on},
volume = {0},
year = {2004},
isbn = {0-7695-2145-2},
pages = {46},
doi = {http://doi.ieeecomputersociety.org/10.1109/EH.2004.1310808},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Evolvable Hardware, NASA/DoD Conference on
TI - Towards Evolvable Analog Artificial Neural Networks Controllers
SN - 0-7695-2145-2
SP
EP
A1 - J. F. M. Amaral,
A1 - J. L. M. Amaral,
A1 - C. Santini,
A1 - R. Tanscheit,
A1 - M. Vellasco,
A1 - M. Pacheco,
PY - 2004
KW - null
VL - 0
JA - Evolvable Hardware, NASA/DoD Conference on
ER -
 
J. F. M. Amaral, UERJ - Rio de Janeiro State University, Brazil
J. L. M. Amaral, UERJ - Rio de Janeiro State University, Brazil
C. Santini, PUC-Rio - Catholic University of Rio de Janeiro, Brazil
R. Tanscheit, PUC-Rio - Catholic University of Rio de Janeiro, Brazil
M. Vellasco, PUC-Rio - Catholic University of Rio de Janeiro, Brazil
M. Pacheco, PUC-Rio - Catholic University of Rio de Janeiro, Brazil
This work deals with the design of analog circuits for Artificial Neural Networks (ANNs) controllers using an Evolvable Hardware (EHW) platform. ANNs are massively parallel systems that rely on simple processors and dense arrangements of interconnections. These networks have demonstrated their ability to deliver simple and powerful solutions in several areas, including control systems. The EHW analog platform is a reconfigurable platform, called Programmable Analog Multiplexer Array-Next Generation (PAMA-NG), which can be programmed by Genetic Algorithms to synthesize circuits. This article focuses on the development of artificial neuron circuits for analog ANNs on the PAMA-NG.
Citation:
J. F. M. Amaral, J. L. M. Amaral, C. Santini, R. Tanscheit, M. Vellasco, M. Pacheco, "Towards Evolvable Analog Artificial Neural Networks Controllers," eh, pp.46, 2004 NASA/DoD Conference on Evolvable Hardware (EH'04), 2004
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