202 search results - page 21 / 41 » Learning fault-tolerance in Radial Basis Function Networks |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
ISDA
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, a fuzzy wavelet neural network model is proposed for system identification problems. The proposed model is obtained from the traditional Takagi-Sugeno-Kang (TSK) fu...
MM
2004
ACM
14 years 25 days ago
2004
ACM
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
TEC
2008
13 years 7 months ago
2008
In this paper, we propose a technique based on genetic programming (GP) for meshfree solution of elliptic partial differential equations. We employ the least-squares collocation pr...
TNN
1998
13 years 7 months ago
1998
—In this letter we point out that multilayer neural networks (MLP’s) with either sigmoidal units or radial basis functions can be given a canonical form with positive interunit...