A program for the Bayesian Neural Network in the ROOT framework

Abstract We present a Bayesian Neural Network algorithm implemented in the TMVA package (Hoecker et al., 2007 [1]), within the ROOT framework (Brun and Rademakers, 1997 [2]). 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 app... Title of program: TMVA-BNN Catalogue Id: AEJX_v1_0 Nature of problem Non-parametric fitting of multivariate distributions. Versions of this program held in the CPC repository in Mendeley Data AEJX_v1_0; TMVA-BNN; 10.1016/j.cpc.2011.07.019 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

摘要 我们提出一种在ROOT框架（Brun和Rademakers，1997 [2]）下的TMVA软件包（Hoecker等人，2007 [1]）中实现的贝叶斯神经网络（Bayesian Neural Network）算法。与将神经网络（Neural Network）用作判别器的传统用法相比，这种新实现作为非参数回归工具（non-parametric regression tool）具有更多优势，尤其适用于概率拟合。它提供的功能包括代价函数（cost function）选择、复杂度控制和不确定性估计。此类应用的一个示例...
程序名称：TMVA-BNN
目录编号：AEJX_v1_0
问题性质：多元分布的非参数拟合。
本程序在Mendeley Data的CPC存储库中保存的版本：AEJX_v1_0；TMVA-BNN；10.1016/j.cpc.2011.07.019
本程序已从贝尔法斯特女王大学（Queen's University Belfast）1969-2018年持有的CPC程序库导入。