42 search results - page 4 / 9 » On Node-Fault-Injection Training of an RBF Network |
MVA
2000
13 years 9 months ago
2000
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
TNN
2008
13 years 7 months ago
2008
In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faul...
ESANN
2007
13 years 9 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...
NPL
2006
13 years 7 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
IJCNN
2000
IEEE
14 years 3 days ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...