872 search results - page 112 / 175 » Evolving Complex Neural Networks |
75
Voted
IWANN
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. It is generally accepted that some of the problems and ambiguities at the low level of processing can not be resolved without taking into account contextual expectations....
ESANN
2007
14 years 11 months ago
2007
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
HIS
2004
14 years 11 months ago
2004
: A-scans from ultrasonic testing of long shafts are complex signals. The discrimination of different types of echoes is of importance for non-destructive testing and equipment mai...
85
Voted
EAAI
2007
14 years 10 months ago
2007
This paper recapitulates the results of a long research on a family of artificial intelligence (AI) methods—relying on, e.g., artificial neural networks and search techniques...
NN
2006
Springer
14 years 10 months ago
2006
Springer
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...