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
本文提出一种在ROOT框架（Brun与Rademakers，1997 [2]）下的TMVA工具包中实现的贝叶斯神经网络（Bayesian Neural Network）算法（Hoecker等，2007 [1]）。相较于将神经网络常规用作判别器的场景，该全新实现作为非参数回归工具具备更多优势，尤其适用于概率拟合任务。其内置的功能包括代价函数选择、复杂度控制与不确定性估计。此类应用的示例……

程序名称：TMVA-BNN
目录编号：AEJX_v1_0

问题性质
多变量分布的非参数拟合。

Mendeley数据集中CPC库收录的本程序版本：
AEJX_v1_0; TMVA-BNN; 10.1016/j.cpc.2011.07.019

本程序源自贝尔法斯特女王大学托管的CPC程序库（1969-2018年）