8 search results - page 1 / 2 » Comparison of worst case errors in linear and neural network... |
TIT
2002
13 years 4 months ago
2002
Sets of multivariable functions are described for which worst case errors in linear approximation are larger than those in approximation by neural networks. A theoretical framework...
NECO
2007
13 years 4 months ago
2007
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
ICTAI
2008
IEEE
13 years 11 months ago
2008
IEEE
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Any performance evaluation of broadband networks requires modeling of the actual network traffic. Since multimedia services and especially MPEG coded video streams are expected to...
TNN
1998
13 years 4 months ago
1998
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...