137 search results - page 1 / 28 » Evolutionary Multi-objective Optimization of Spiking Neural ... |
IJCNN
2006
IEEE
13 years 10 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...
ICANN
2007
Springer
13 years 10 months ago
2007
Springer
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
ALIFE
2006
13 years 4 months ago
2006
This paper investigates the evolution of autonomous agents that solve a memorydependent counting task. Two types of neurocontrollers are evolved: networks of McCulloch-Pitts neuro...