IROS
2006
IEEE
14 years 5 months ago
2006
IEEE
— This paper presents an approach on how to adapt playgrounds using artificial neural networks (ANN). The playground consists of small tiles each capable of outputting coloured ...
IJCNN
2006
IEEE
14 years 5 months ago
2006
IEEE
— We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
IJCNN
2007
IEEE
14 years 5 months ago
2007
IEEE
— Artificial neural networks have been proven to be
IJCNN
2007
IEEE
14 years 5 months ago
2007
IEEE
Abstract— Each time more grows the necessity of guaranteeing itself security and trustworthiness of the equipment during the execution of the industrials processes. Then, it is v...
GLOBECOM
2007
IEEE
14 years 5 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
IJCNN
2008
IEEE
14 years 6 months ago
2008
IEEE
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
ICANN
2009
Springer
14 years 6 months ago
2009
Springer
Abstract. Both symbolic knowledge representation systems and artificial neural networks play a significant role in Artificial Intelligence. A recent trend in the field aims at ...
ICASSP
2009
IEEE
14 years 6 months ago
2009
IEEE
In this paper, we propose to use Artificial Neural Networks (ANN) for voice conversion. We have exploited the mapping abilities of ANN to perform mapping of spectral features of ...