1032 search results - page 74 / 207 » Efficient Learning of Neural Networks with Evolutionary Algo... |
156
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GECCO
2008
Springer
14 years 11 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
IJCAI
1997
14 years 11 months ago
1997
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
115
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ICTAI
2009
IEEE
14 years 7 months ago
2009
IEEE
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electr...
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...