A program for the Bayesian Neural Network in the ROOT framework

Physics – Data Analysis – Statistics and Probability

Scientific paper

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12 pages, 6 figures

Scientific paper

10.1016/j.cpc.2011.07.019

We present a Bayesian Neural Network algorithm implemented in the TMVA package, within the ROOT framework. Comparing to the conventional utilization of Neural Network as discriminator, this new implementation has more advantages as a non-parametric regression tool, particularly for fitting probabilities. It provides functionalities including cost function selection, complexity control and uncertainty estimation. An example of such application in High Energy Physics is shown. The algorithm is available with ROOT release later than 5.29.

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