Datasets of beta-ray induced X-ray spectroscopy for tritium analysis with back propagation neural network

The datasets were used in the paper of “beta-ray induced X-ray spectroscopy for tritium analysis with back propagation neural network”, accepted for publication in the journal of Nuclear Science and Techniques, which include:1. Dataset for training.csv: The 420 sets of data used to train and test the BP network.2. Experimental BIXS spectra.csv: The Experimental BIXS spectra for samples 26 and 42.3. The 84 sets of data .csv: The 84 sets of data under the different levels of uncertainty added with Gaussian distribution.4. The 22 sets of data .csv: The 22 sets of data to test the generalization of the BP neural network.For more details, please see the file ReadMe.txt.

本数据集应用于已被《核科学与技术（Nuclear Science and Techniques）》期刊接收发表的论文《基于反向传播（Back Propagation，BP）神经网络的β射线诱发X射线光谱氚分析》，数据集包含以下内容：
1. 训练数据集（Dataset for training.csv）：用于训练与测试反向传播（BP）神经网络的420组数据。
2. 实验BIXS光谱数据集（Experimental BIXS spectra.csv）：样品26和42的实验β射线诱发X射线光谱数据。
3. 84组数据集（The 84 sets of data .csv）：添加了不同程度高斯分布不确定性的84组数据。
4. 22组测试数据集（The 22 sets of data .csv）：用于测试反向传播（BP）神经网络泛化性能的22组数据。
更多详细信息请参阅ReadMe.txt文件。