Journal:Informatica
Volume 9, Issue 2 (1998), pp. 235–252
Abstract
In the present paper, the method of structure analysis for multivariate functions was applied to examine the global sensitivity of three complex models: the HIV/AIDS infection spread, radar search, and the multiple criteria decisions.
The investigation of global sensitivity exposed the most influential parameters or their groups. This knowledge makes it possible to concentrate efforts to obtain more exact values of these main parameters.
As a rule, only a small part of model parameters has a significant influence.
Journal:Informatica
Volume 7, Issue 4 (1996), pp. 525–541
Abstract
In the present paper, the method of structure analysis for multivariate functions was applied to rational approximation in classification problems. Then the pattern recognition and generalisation ability was investigated experimentally in numerical recognition. A comparison with Hopfield Net was carried out. The overall results of using of new approach may be treated as a success.