144 search results - page 7 / 29 » Training approaches in neural enhancement for multiobjective... |
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
CEC
2010
IEEE
14 years 10 months ago
2010
IEEE
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
149
click to vote
GECCO
2008
Springer
14 years 10 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...