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» Hardware Implementations of Artificial Neural Networks
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AEI
1999
134views more  AEI 1999»
13 years 7 months ago
Automatic design synthesis with artificial intelligence techniques
Design synthesis represents a highly complex task in the field of industrial design. The main difficulty in automating it is the definition of the design and performance spaces, i...
Francisco J. Vico, Francisco J. Veredas, Jos&eacut...
FPGA
2009
ACM
201views FPGA» more  FPGA 2009»
14 years 2 months ago
A high-performance FPGA architecture for restricted boltzmann machines
Despite the popularity and success of neural networks in research, the number of resulting commercial or industrial applications have been limited. A primary cause of this lack of...
Daniel L. Ly, Paul Chow
EVOW
2001
Springer
14 years 4 days ago
Evolution of Spiking Neural Controllers for Autonomous Vision-Based Robots
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
Dario Floreano, Claudio Mattiussi
FCCM
2007
IEEE
168views VLSI» more  FCCM 2007»
13 years 7 months ago
Discrete-Time Cellular Neural Networks in FPGA
This paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions o...
J. Javier Martínez-Álvarez, F. Javie...
FECS
2006
159views Education» more  FECS 2006»
13 years 9 months ago
Evolving Mathematical Functions with Genetic Algorithms - A Team Project on Artificial Intelligence
- In contrast to most of the senior level Artificial Intelligence (AI) courses where AI is taught in the jargon of theoretical computer science with crowd of complex matrix algebra...
Zhiguang Xu, Chris Neasbitt, Jared Summers, Bill C...