姓名：相忠良

职称：副教授

邮箱：zlxiang@sdtbu.edu.cn

主讲课程：最优化理论与方法、网络数据库、面向对象的Java程序设计、数据结构、操作系统。

研究方向：深度学习、时间序列分析、机器学习算法优化。

个人简介：相忠良，男，博士，副教授。主要研究领域：深度学习、时间序列分析、机器学习算法优化。在《Engineering Applications of Artificial Intelligence》、《Applied Intelligence》、《Ecological Informatics》等国内外顶刊上发表学术论文10余篇，主持完成山东省自然科学基金项目1项、主持完成山东省高等学校科技计划项目1项，参与完成国家自然科学基金课题1项，授权国家发明专利2项。

代表性论文：

[1] Zhong-Liang Xiang, Armand Jean Noel Irangabiye, Shu-Guang Li. Adaptive nonlinear recursive control based on normalized advantage neural network learning for large-scale cyber-physical power systems. Engineering Applications of Artificial Intelligence, 2026, 163: 112871.

[2] Jia-Ming Xin, Yi-Ying Wang, Da-She Li, Zhong-Liang Xiang. A fish counting model based on pyramid vision transformer with multi-scale feature enhancement. Ecological Informatics, 2025.

[3] Zhong-Liang Xiang, Rui Wang, Xiang-Ru Yu, Bo Li, Yuan Yu. Experimental analysis of similarity measurements for multivariate time series and its application to the stock market. Applied Intelligence, 2023.

[4] Zhong-Liang Xiang, Dae-Ki Kang. Attribute weighting for averaged one-dependence estimators. Applied Intelligence, 2017.

[5] Zhong-Liang Xiang, Xiang-Ru Yu, Dae-Ki Kang. Experimental analysis of naïve Bayes classifier based on an attribute weighting framework with smooth kernel density estimations. Applied Intelligence, 2016.

[6] Zhong-Liang Xiang, Xiang-Ru Yu, Dae-Ki Kang. Bayesian prediction model based on attribute weighting and kernel density estimations. Mathematical Problems in Engineering, 2015.

授权发明专利：

[1] 《基于最小熵准则更新的跟踪方法、系统、电子设备及介质》（专利号：ZL 2023 1 0698938.4 第一发明人）

[2]《一种网络故障诊断方法》（专利号：ZL 2016 1 0983242.6 第一发明人）