52 search results - page 1 / 11 » Reducing Fitness Evaluations Using Clustering Techniques and... |
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—A new application of the NN ensemble technique to improve the accuracy and stability of the calculation of NN emulation Jacobians is presented. The term “emulation” is defin...
AI
2002
Springer
13 years 4 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
NN
2008
Springer
13 years 4 months ago
2008
Springer
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— The optimization of classification systems is often confronted by the solution over-fit problem. Solution over-fit occurs when the optimized classifier memorizes the traini...