199 search results - page 7 / 40 » Graph of Neural Networks for Pattern Recognition |
ISNN
2005
Springer
14 years 1 months ago
2005
Springer
Built on the theories of biological neural network, artificial neural network methods have shown many significant advantages. However, the memory space in an artificial neural chip...
IWANN
1999
Springer
14 years 21 days ago
1999
Springer
A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotatio...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
ICANN
2003
Springer
14 years 1 months ago
2003
Springer
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
ISCI
2002
13 years 8 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...