A new method for visualizing the class of incrementally evolving networks is presented. In addition to the intermediate states of the network it conveys the nature of the change b...
This paperpresentsa new approachto the evolutionof neuralnetworks. A linear chromosome combined with a grid-based representation of the network and a new crossover operator allow t...
We present an application of arti cial neural networks to machine condition monitoring. Since several signal preprocessing methods produce high dimensional feature vectors there i...
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
In spite of the more advanced modularisation mechanisms, aspect-oriented programs still suffer from evolution problems. Due to the fragile pointcut problem, seemingly safe modifica...
Andy Kellens, Kim Mens, Johan Brichau, Kris Gybels