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» Explanation-Based Neural Network Learning for Robot Control
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124
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GECCO
2008
Springer
118views Optimization» more  GECCO 2008»
15 years 3 months ago
Unsupervised learning of echo state networks: balancing the double pole
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
Fei Jiang, Hugues Berry, Marc Schoenauer
111
Voted
AHS
2007
IEEE
269views Hardware» more  AHS 2007»
15 years 8 months ago
Automatic Synthesis of Fault Detection Modules for Mobile Robots
In this paper, we present a new approach for automatic synthesis of fault detection modules for autonomous mobile robots. The method relies on the fact that hardware faults typica...
Anders Lyhne Christensen, Rehan O'Grady, Mauro Bir...
ROBOCUP
1999
Springer
129views Robotics» more  ROBOCUP 1999»
15 years 6 months ago
The Ulm Sparrows 99
In RoboCup-98, sparrows team worked hard just to get both a simulation and a middle size robot team to work and to successfully participate in a major tournament. For this year, we...
Stefan Sablatnög, Stefan Enderle, Mark Dettin...
KI
2007
Springer
15 years 8 months ago
A General Framework for Encoding and Evolving Neural Networks
Abstract. In this paper we present a novel general framework for encoding and evolving networks called Common Genetic Encoding (CGE) that can be applied to both direct and indirect...
Yohannes Kassahun, Jan Hendrik Metzen, Jose de Gea...
IROS
2009
IEEE
142views Robotics» more  IROS 2009»
15 years 8 months ago
Phoneme acquisition model based on vowel imitation using Recurrent Neural Network
- A phoneme-acquisition system was developed using a computational model that explains the developmental process of human infants in the early period of acquiring language. There a...
Hisashi Kanda, Tetsuya Ogata, Toru Takahashi, Kazu...