189 search results - page 15 / 38 » Normalized Gaussian Radial Basis Function networks |
85
Voted
DATAMINE
1998
14 years 9 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
82
Voted
IWANN
2001
Springer
15 years 1 months ago
2001
Springer
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
ICIC
2005
Springer
15 years 3 months ago
2005
Springer
: In this paper, a new approach for leaf recognition using the result of segmentation of leaf’s skeleton based on the combination of wavelet transform (WT) and Gaussian interpola...
68
Voted
SBRN
2000
IEEE
15 years 1 months ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
NIPS
1990
14 years 10 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...