DocumentCode
2004374
Title
A reconfigurable continuous time recurrent neural network for evolvable hardware applications
Author
Gallagher, John C. ; Boddhu, Sanjay K. ; Vigraham, Saranyan
Author_Institution
Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
fYear
2005
fDate
29 June-1 July 2005
Firstpage
247
Lastpage
250
Abstract
Evolvable hardware is reconfigurable hardware plus an evolutionary algorithm. Continuous time recurrent neural networks (CTRNNs) have been proposed for use as the reconfigurable hardware component. Until recently, however, nearly all CTRNN based EH was simulation based. This poster details a design for a reconfigurable analog CTRNN computer that supports both extrinsic and intrinsic CTRNN evolvable hardware.
Keywords
analogue computers; continuous time systems; discrete time systems; evolutionary computation; reconfigurable architectures; recurrent neural nets; continuous time neural network; evolutionary algorithm; evolvable hardware; reconfigurable hardware; reconfigurable neural network; recurrent neural network; Analog computers; Application software; Computational modeling; Computer science; Control systems; Evolutionary computation; Neural network hardware; Neurons; Potentiometers; Recurrent neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolvable Hardware, 2005. Proceedings. 2005 NASA/DoD Conference on
ISSN
1550-6029
Print_ISBN
0-7695-2399-4
Type
conf
DOI
10.1109/EH.2005.5
Filename
1508507
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