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» Evolving neural network ensembles for control problems
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NCA
2007
IEEE
13 years 7 months ago
Using evolution to improve neural network learning: pitfalls and solutions
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
John A. Bullinaria
TROB
2002
106views more  TROB 2002»
13 years 7 months ago
A dual neural network for bi-criteria kinematic control of redundant manipulators
A dual neural network is presented for the bi-criteria kinematic control of redundant manipulators. To diminish the discontinuity of minimum infinity-norm solutions, the kinematicc...
Yunong Zhang, Jun Wang, Yangsheng Xu
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 1 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
WCNC
2008
IEEE
14 years 2 months ago
Neural Network-Based Approach for Adaptive Density Control and Reliability in Wireless Sensor Networks
A primary constraint in wireless sensor networks (WSNs) is obtaining reliable and prolonged network operation with power-limited sensor nodes. Most of the approaches to the energy ...
Renita Machado, Sirin Tekinay
IJCNN
2008
IEEE
14 years 2 months ago
Neuro-visual control in the Quake II game engine
— The first-person-shooter Quake II is used as a platform to test neuro-visual control and retina input layouts. Agents are trained to shoot a moving enemy as quickly as possibl...
Matt Parker, Bobby D. Bryant