Open-Datasets, MICS-ANN model: an artificial neural network model for fast computation of G-function in moving infinite cylindrical source model

<strong># Open-Datasets, MICS-ANN model: an artificial neural network model for fast computation of G-function in moving infinite cylindrical source model</strong> An open-datasets related to the article of <em>"MICS-ANN model: an artificial neural network model for fast computation of G-function in moving infinite cylindrical source model"</em>. <br> <strong>## Contact</strong> Yutaka Shoji <br> Graduate School of Engineering, Hokkaido University, Japan <br> [e-mail] <strong>## Associated article</strong> Shoji, Y., Katsura, T., &amp; Nagano, K. (2021). MICS-ANN model: An artificial neural network model for fast computation of G-function in moving infinite cylindrical source model. <em>Geothermics</em>, 100, 102315, ISSN 0375-6505, https://doi.org/10.1016/j.geothermics.2021.102315. <br> <strong>## Contents</strong> For detailed description, see the README.md. <br> Shoji, Yutaka [2021.05.22]

# 开放数据集：MICS-ANN模型——用于移动无限圆柱源模型中G函数（G-function）快速计算的人工神经网络模型

本开放数据集关联于论文《MICS-ANN模型：用于移动无限圆柱源模型中G函数快速计算的人工神经网络模型》。

## 联系方式
庄司裕贵（Yutaka Shoji）
日本北海道大学工程研究生院
[e-mail]

## 关联论文
Shoji, Y., Katsura, T. 及 Nagano, K. (2021). MICS-ANN模型：用于移动无限圆柱源模型中G函数快速计算的人工神经网络模型. 《地热学》（Geothermics）, 100, 102315, ISSN 0375-6505, https://doi.org/10.1016/j.geothermics.2021.102315.

## 数据集内容
详细说明请参阅README.md文件。
庄司裕贵（Yutaka Shoji） 2021年5月22日