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KES
2008
Springer
13 years 8 months ago
Instruction-based development: From evolution to generic structures of digital circuits
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...
Michal Bidlo, Jaroslav Skarvada
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
13 years 10 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
GLOBECOM
2009
IEEE
14 years 3 months ago
REPARE: Regenerator Placement and Routing Establishment in Translucent Networks
—Most research works in routing and design of optical networks assume that the optical medium can carry data signals without any bit error. However, physical impairments of the o...
Weiyi Zhang, Jian Tang, Kendall E. Nygard, Chongga...
IJCNN
2006
IEEE
14 years 2 months ago
Global Reinforcement Learning in Neural Networks with Stochastic Synapses
— We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...
Xiaolong Ma, Konstantin Likharev
IJCAI
2007
13 years 9 months ago
Coordination to Avoid Starvation of Bottleneck Agents in a Large Network System
In this paper, we present a multi-agent control method for a large-scale network system. We propose an extension of a token-based coordination technique to improve the tradeoff be...
Rajesh Gautam, Kazuo Miyashita