The artificial neural network (ANN) is an information processing technology inspired by the information processing technique of the human brain. The way the simple biological nervous system works is imitated with ANN. In this study, an ANN model is proposed to analyze and simulate TL intensity of experimental data of quartz crystals with respect to the fading. In this model, network type and transfer function are chosen as the feed-forward backpropagation algorithm and Tansig respectively for the training of the proposed ANN model. The optimization process is also chosen as Levenberg–Marquardt in this study. The performance criteria of the proposed method were evaluated according to the coefficient of determination (R²) and mean-squared error (MSE) techniques. After simulation results are obtained, the TL glow curve of the prediction results of quartz crystal is obtained as a function of fading time irradiated with β-source at 70 Gy for stored in 64 h at room temperature.

人工神经网络（ANN）是一种受人脑信息处理技术启发的信息处理技术。简单的生物神经系统的工作方式是用人工神经网络模仿的。在这项研究中，提出了一种人工神经网络模型来分析和模拟石英晶体关于衰落的实验数据的 TL 强度。在该模型中，网络类型和传递函数分别被选为前馈反向传播算法和 Tansig，用于训练所提出的 ANN 模型。在本研究中，优化过程也被选择为 Levenberg-Marquardt。根据确定系数（R ²) 和均方误差 (MSE) 技术。得到模拟结果后，得到石英晶体预测结果的TL辉光曲线，作为衰变时间的函数，β源在70 Gy的辐射下室温保存64 h。