202 search results - page 10 / 41 » Learning fault-tolerance in Radial Basis Function Networks |
ADCM
2005
13 years 7 months ago
2005
Radial basis functions (RBFs) have found important applications in areas such as signal processing, medical imaging, and neural networks since the early 1980's. Several appli...
NIPS
1990
13 years 8 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
ESANN
2007
13 years 8 months ago
2007
Abstract. Using radial basis function networks for function approximation tasks suffers from unavailable knowledge about an adequate network size. In this work, a measuring techni...
ISCI
2002
13 years 7 months ago
2002
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
CBMS
1997
IEEE
13 years 11 months ago
1997
IEEE
This paper presents a novel method for CT head image automatic segmentation. The images are obtained from patients having the spontaneous intra cerebral brain hemorrhage ICH . Th...