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143
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DAGM
2007
Springer
15 years 7 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
Nils T. Siebel, Jochen Krause, Gerald Sommer
127
Voted
ECAL
2007
Springer
15 years 7 months ago
Evolution of Neural Networks for Active Control of Tethered Airfoils
Recent development in tethered airfoil i.e. kite technology allows the possibility of exploitation of wind energy at higher altitudes than achievable with traditional wind turbines...
Allister Furey, Inman Harvey
146
Voted
FCCM
2009
IEEE
204views VLSI» more  FCCM 2009»
15 years 7 months ago
Acceleration and Energy Efficiency of a Geometric Algebra Computation using Reconfigurable Computers and GPUs
Geometric algebra (GA) is a mathematical framework that allows the compact description of geometric relationships and algorithms in many fields of science and engineering. The exe...
Holger Lange, Florian Stock, Andreas Koch, Dietmar...
97
Voted
ICALT
2009
IEEE
15 years 7 months ago
Supporting Teacher Intervention in Unpredictable Learning Environments
Modern teaching tools, such as educational robotics, require new learning environments. The teacher especially needs to be supported in novel ways. Conflative learning environment...
Ilkka Jormanainen, Antony Harfield, Erkki Sutinen
114
Voted
CDC
2009
IEEE
201views Control Systems» more  CDC 2009»
15 years 7 months ago
Consensus of discrete-time multi-agent systems with nonlinear local rules and time-varying delays
In a multi-agent system (MAS), the agents are often considered to be autonomous entities, such as robots or software programs, each under the influence of a local rule, representin...
Yao Chen, Jinhu Lu, Zongli Lin
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