Application of artificial intelligence techniques to the acceleration of Monte Carlo transport calculations. [Application to MCN code]

Publisher Website
Google Scholar
Abstract
The techniques of learning theory and pattern recognition are used to learn splitting surface locations for the Monte Carlo neutron transport code MCN. A study is performed to determine default values for several pattern recognition and learning parameters. The modified MCN code is used to reduce computer cost for several nontrivial example problems.

This publication has 0 references indexed in Scilit: