298 search results - page 10 / 60 » Optimizing number of hidden neurons in neural networks |
78
Voted
GECCO
2005
Springer
15 years 5 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
TSMC
2008
14 years 11 months ago
2008
In this paper, we propose two cooperative ensemble learning algorithms, i.e., NegBagg and NegBoost, for designing neural network (NN) ensembles. The proposed algorithms incremental...
123
Voted
EVOW
2001
Springer
15 years 4 months ago
2001
Springer
Abstract. We describe a set of preliminary experiments to evolve spiking neural controllers for a vision-based mobile robot. All the evolutionary experiments are carried out on phy...
94
Voted
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposed circuit uses the general principles resulting from the u...
89
Voted
ESANN
2003
15 years 1 months ago
2003
: -RetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes adv...