Neural networks for maximum likelihood clustering
โ Scribed by Hazem M. Abbas; Moustafa M. Fahmy
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 1014 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0165-1684
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
We consider the probabilistic neural network (PNN) that is a mixture of Gaussian basis functions having different variances. Such a Gaussian heteroscedastic PNN is more economic, in terms of the number of kernel functions required, than the Gaussian mixture PNN of a common variance. The expectation-
## Abstract The emerging technology of positron emission image reconstruction is introduced in this paper as a multicriteria optimization problem. We show how selected families of objective functions may be used to reconstruct positron emission images. We develop a novel neural network approach to