|
Abstract
| Three basic methods that are extensively applied at JINR to process recent experimental data are reviewed, namely, robust methods of mathematical statistics, artificial neural networks including cellular automata, and wavelet analysis. This review primarily covers studies in which scientists from the Laboratory of Informational Technologies participated, in particular, in collaborations with the leading centers of physics such as CERN, DESY, BNL, etc. The basic principles of the reviewed methods and the most useful and promising examples of their applications are discussed in detail. (124 refs). |