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» Explanation-Based Neural Network Learning for Robot Control
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ICANN
2005
Springer
15 years 7 months ago
A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor
Abstract. A real-time, large scale, leaky-integrate-and-fire neural network processor realized using FPGA is presented. This has been designed, as part of a collaborative project,...
Martin J. Pearson, Ian Gilhespy, Kevin N. Gurney, ...
CEC
2008
IEEE
15 years 8 months ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
96
Voted
ICRA
2005
IEEE
106views Robotics» more  ICRA 2005»
15 years 7 months ago
Robot Guidance with Neuromorphic Motion Sensors
— Neuromorphic motion sensors are attractive for use on battery powered robots which require a low payload. Their features include low power consumption, continuous computation, ...
Lukas Reichel, David Liechti, Karl Presser, Shih-C...
124
Voted
OGAI
1993
15 years 6 months ago
Combining Neural Networks and Fuzzy Controllers
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory ...
Detlef Nauck, Frank Klawonn, Rudolf Kruse
IROS
2006
IEEE
190views Robotics» more  IROS 2006»
15 years 8 months ago
Q-RAN: A Constructive Reinforcement Learning Approach for Robot Behavior Learning
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
Jun Li, Achim J. Lilienthal, Tomás Mart&iac...