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» Equivalent Number of Degrees of Freedom for Neural Networks
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NC
2011
219views Neural Networks» more  NC 2011»
12 years 10 months ago
Complexity-preserving simulations among three variants of accepting networks of evolutionary processors
In this paper we consider three variants of accepting networks of evolutionary processors. It is known that two of them are equivalent to Turing machines. We propose here a direct ...
Paolo Bottoni, Anna Labella, Florin Manea, Victor ...
IPPS
2010
IEEE
13 years 5 months ago
Acceleration of spiking neural networks in emerging multi-core and GPU architectures
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
GLOBECOM
2009
IEEE
14 years 2 months ago
Feasibility Conditions for Interference Alignment
—The degrees of freedom (DoF) of K-user MIMO interference networks with constant channel coefficients are not known in general. Determining the feasibility of a linear interfere...
Cenk M. Yetis, Tiangao Gou, Syed Ali Jafar, Ahmet ...
IWANN
2009
Springer
14 years 1 months ago
Automatic Generation of Biped Walk Behavior Using Genetic Algorithms
Controlling a biped robot with several degrees of freedom is a challenging task that takes the attention of several researchers in the fields of biology, physics, electronics, com...
Hugo Picado, Marcos Gestal, Nuno Lau, Luís ...
ICRA
2003
IEEE
146views Robotics» more  ICRA 2003»
14 years 20 days ago
Automatic locomotion pattern generation for modular robots
Locomotion is considered as most basic function of robots. In the case of ordinary robots, they are not needed to change locomotion pattern because their configurations are consta...
Akiya Kamimura, Haruhisa Kurokawa, Eiichi Yoshida,...