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Modeling Dynamic Feedforward Neural Networks with VHDL*
Hangzhou, Zhejiang, China June 20-June 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.882006 First International Multi-Sympos ...
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Xi Chen, Gaofeng Wang, Wei Zhou, Jiangfeng Xu, Qinglin Zhang, "Modeling Dynamic Feedforward Neural Networks with VHDL*," Computer and Computational Sciences, International Multi-Symposiums on, vol. 1, pp. 785-788, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.
 
 
BibTex
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@article{ 10.1109/IMSCCS.2006.88,
author = {Xi Chen and Gaofeng Wang and Wei Zhou and Jiangfeng Xu and Qinglin Zhang},
title = {Modeling Dynamic Feedforward Neural Networks with VHDL*},
journal ={Computer and Computational Sciences, International Multi-Symposiums on},
volume = {1},
year = {2006},
isbn = {0-7695-2581-4},
pages = {785-788},
doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.88},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Computational Sciences, International Multi-Symposiums on
TI - Modeling Dynamic Feedforward Neural Networks with VHDL*
SN - 0-7695-2581-4
SP785
EP788
A1 - Xi Chen,
A1 - Gaofeng Wang,
A1 - Wei Zhou,
A1 - Jiangfeng Xu,
A1 - Qinglin Zhang,
PY - 2006
KW - null
VL - 1
JA - Computer and Computational Sciences, International Multi-Symposiums on
ER -
 
Xi Chen, Wuhan University, China
Gaofeng Wang, Wuhan University, China
Wei Zhou, Wuhan University, China
Jiangfeng Xu, Chinese Academy of Sciences, China
Qinglin Zhang, Wuhan University, China
A set of improved equations for dynamic feedforward neural networks is introduced to represent the behavior of the integrated circuit (IC). The rationality of the improved equations is elucidated by studying the relationship between the circuits and the equation parameters. In order to apply the dynamic feedforward neural networks to the design of intelligent IC, the method of modeling and simulation with VHSIC hardware description language is presented, as an important step for hardware implementation. The simulated results indicate that the new dynamic feedforward neural networks can better approximate to the behavior of a dynamic electrical system.
Citation:
Xi Chen, Gaofeng Wang, Wei Zhou, Jiangfeng Xu, Qinglin Zhang, "Modeling Dynamic Feedforward Neural Networks with VHDL*," imsccs, vol. 1, pp.785-788, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006
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