张仕光｜山东管理学院｜学者主页

2025

Proximal LSSVR of Gauss-Laplacian With Mixed-Noise-Characteristics and Its Applications for Short-Term Wind-Speed Forecasting

Ting Zhou, Shiguang Zhang

IEEE Access

DOI

2024

基于噪声特性的回归模型研究

张仕光

2024

The construction and practice of information technology courses that integrate new generation of information technology and empowering education

Shiguang Zhang, Xiaonan Fang, Feng Yuan, Ting Zhou

International Conference on Information Technology in Medicine and Education

DOI

2024

The Reform of Talent Cultivation Mode for Big Data and Artificial Intelligence Modern Industrial Colleges Based on the Agile Education Philosophy

Xiaonan Fang, Yanling Du, Ning Wang, Shiguang Zhang, Yixian Fang, Zuo-Sheng Han, Feng Yuan

International Conference on Information Technology in Medicine and Education

DOI

2023

The Reform and Practice of College Computer Basic Courses Towards Computational Thinking and Empowerment Education Under the Background of New Liberal Arts

Shiguang Zhang, Xiaonan Fang, Feng Yuan, Ting Zhou

International Conference on Information Technology in Medicine and Education

DOI

2023

Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in short-term wind-speed forecasting

Shiguang Zhang, Dingkun Guo, Ting Zhou

Journal of Intelligent & Fuzzy Systems

DOI

2023

Models LSSVR and PLSSVR With Heteroscedastic Gaussian Noise Characteristics and Its Application for Short-Term Wind-Speed Forecasting

Ting Zhou, G. Feng, Shiguang Zhang

IEEE Access

DOI

2023

Exploring the Collaborative Education Path of Labor Education and Innovation and Entrepreneurship Education in Computer Majors

Feng Yuan, Shiguang Zhang

International Conference on Information Technology in Medicine and Education

DOI

2022

基于截断2-范数损失函数的鲁棒极限学习机

张仕光，郭迪，冯歌，刘洁晶

《山西大学学报(自然科学版)》

2022

基于高斯噪声的孪生近端最小二乘支持向量回归模型研究及应用

袁秋云，张仕光，刘士琴，郭双乐

《南京师范大学学报(工程技术版)》

2022

Twin proximal least squares support vector regression machine based on heteroscedastic Gaussian noise

Shiguang Zhang, Qiuyun Yuan, Feng Yuan, Shi-Qin Liu

Journal of Intelligent & Fuzzy Systems

DOI

2022

Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application

Shiguang Zhang, Ge Feng, Feng Yuan, Shuang-Le Guo

IEEE Access

DOI

2021

Density peaks clustering based on k-nearest neighbors and self-recommendation

Lin Sun, X. Qin, Wei-Ping Ding, Jiucheng Xu, Shiguang Zhang

International Journal of Machine Learning and Cybernetics

DOI

2020

高斯噪声特性区间ν-支持向量回归机

张仕光，周婷，刘超，李源

《山西大学学报(自然科学版)》

DOI

2020

Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets

Miaomiao Huang, Lin Sun, Jiucheng Xu, Shiguang Zhang

IEEE Access

DOI

2020

LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications

Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Baofang Chang

Entropy

DOI

2020

Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification

Enhui Shi, Lin Sun, Jiucheng Xu, Shiguang Zhang

IEEE Access

DOI

2020

Twin Least Square Support Vector Regression Model Based on Gauss-Laplace Mixed Noise Feature with Its Application in Wind Speed Prediction

Shiguang Zhang, Chao Liu, Wei Wang, Baofang Chang

Entropy

DOI

2020

Twin Least Squares Support Vector Regression of Heteroscedastic Gaussian Noise Model

Shiguang Zhang, Chao Liu, Ting Zhou, Lin Sun

IEEE Access

DOI

2019

Kernel Ridge Regression Model Based on Beta-Noise and Its Application in Short-Term Wind Speed Forecasting

Shiguang Zhang, Ting Zhou, Lin Sun, Chao Liu

Symmetry

DOI

2019

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems

Lin Sun, Lanying Wang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang

Knowledge-Based Systems

DOI

2019

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang

IEEE Access

DOI

2019

Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data

Lin Sun, Wei Wang, Jiucheng Xu, Shiguang Zhang

Journal of Intelligent & Fuzzy Systems

DOI

2019

An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets

Lin Sun, Xiaoyu Zhang, Jiucheng Xu, Shiguang Zhang

Entropy

DOI

2019

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification

Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang

Information Sciences

DOI

2019

Analyzing the Surface Structure of the Binding Domain on DNA and RNA Binding Proteins

Wei Wang, Keliang Li, Hehe Lv, Hongjun Zhang, Shiguang Zhang, Yun Zhou, Junwei Huang

IEEE Access

DOI

2019

A Hybrid Gene Selection Method Based on ReliefF and Ant Colony Optimization Algorithm for Tumor Classification

Lin Sun, Xianglin Kong, Jiucheng Xu, Zhanao Xue, Ruibing Zhai, Shiguang Zhang

Scientific Reports

DOI

2019

A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures

Lin Sun, Lanying Wang, Jiucheng Xu, Shiguang Zhang

Entropy

DOI

2019

ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction

Shiguang Zhang, Ting Zhou, Lin Sun, Wei Wang, Chuang Wang, Wentao Mao

Entropy

DOI

2018

基于异常序列剔除的多变量时间序列结构化预测

毛文涛，蒋梦雪，李源，张仕光

《自动化学报》

DOI

2018

BP神经网络与支持向量机模型在智能手机对大学生影响中的评价研究

士紫薇，张仕光，李燕培，晋洁，牛永博，范静

《数智技术研究与应用》

2018

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, Yun Tian

IEEE Access

DOI

2018

An Image Segmentation Method Based on Improved Regularized Level Set Model

Lin Sun, Xin Meng, Jiucheng Xu, Shiguang Zhang

Applied Sciences

DOI

2018

An Algorithm for Describing the Convex and Concave Shape of Protein Surface

Wei Wang, Keliang Li, Hehe Lv, Lin Sun, Hongjun Zhang, Jinling Shi, Shiguang Zhang, Yun Zhou, Yuan Zhao, Jingjing Xv

ICPCSEE

DOI

2018

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification

Lin Sun, Xiaoyu Zhang, Yu-Hua Qian, Jiucheng Xu, Shiguang Zhang, Yun Tian

Applied intelligence (Boston)

DOI

2017

A robust image watermarking scheme using Arnold transform and BP neural network

Lin Sun, Jiucheng Xu, Shangwang Liu, Shiguang Zhang, Yuan Li, Chang-Hsing Shen

Neural computing & applications (Print)

DOI

2017

Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences

Wei Wang, Lin Sun, Shiguang Zhang, Hongjun Zhang, Jinling Shi, Tianhe Xu, Keliang Li

BMC Bioinformatics

DOI

2016

以教学评估为契机加强二级学院建设——以衡水学院数学与计算机科学学院建设为例

安志宏，杨金山，张仕光

《衡水学院学报》

2016

如何引导学生学习高等数学

周婷，崔红芳，张军芳，孙兰敏，张仕光

《青春岁月》

2015

衡水市新型城镇化与智慧城市建设研究

张军芳，杜鹏，刘旭浩，张仕光，周婷

《福建电脑》

2014

噪声特性的回归模型及其在短期风速预报中的应用

张仕光

《河北师范大学》

2013

粗糙ε-支持向量回归模型

张仕光，米据生，胡清华

《南京大学学报(自然科学)》

2013

线性系统的预条件GAOR迭代法

张仕光

《井冈山大学学报(自然科学版)》

2013

基于Beta噪声模型支持向量回归及其应用

张仕光，胡清华，谢宗霞，米据生

《南京大学学报(自然科学)》

2012

具有泛分解态射的加权Moore-Penrose逆

张仕光

《考试周刊》

2012

H-矩阵的预条件AOR迭代法收敛性

张仕光

《考试周刊》

2012

在《模糊数学》教学中培养大学生的创新能力

张仕光，周婷

《考试周刊》

2012

广义分裂下的预处理Gauss-Seidel迭代法收敛性的讨论

周婷，张仕光

《井冈山大学学报(自然科学版)》

2011

格上矩阵的加法运算律

张仕光

《福建电脑》

2011

一类多参数预条件AOR迭代法

张仕光

《井冈山大学学报(自然科学版)》

2011

世博会对上海城市健康环境影响力的定量评估模型

张仕光，凌密然，李林，武捷春

《井冈山大学学报(自然科学版)》

2009

分块态射的广义逆

张仕光，刘晓冀

《大学数学》

2009

Noble型分块态射的Moore-Penrose逆

张艳丽，张仕光

《衡水学院学报》

2009

具有核的态射的w-加权Drazin逆

刘晓冀，张仕光

《数学物理学报》

2008

矩阵的加权Г逆与线性方程组的解

张仕光，刘洁晶

《衡水学院学报》

2007

关于具有泛分解态射的加权Moore-Penrose逆

张仕光，刘晓冀

《数学的实践与认识》

2006

关于具有泛分解态射f=pgq的加权(i,…,j)逆

张仕光，刘晓冀

《广西科学》

2006

关于环上矩阵的加权Moore-Penrose逆

张仕光，刘晓冀

《广西民族大学学报(自然科学版)》

Structural Prediction of Multivariate Time Series Through Outlier Elimination

Wen-Tao Mao, Wentao Mao, Mengjia Jiang, Yuan Li, Shiguang Zhang

精选作品

期刊论文

Proximal LSSVR of Gauss-Laplacian With Mixed-Noise-Characteristics and Its Applications for Short-Term Wind-Speed Forecasting

基于噪声特性的回归模型研究

The construction and practice of information technology courses that integrate new generation of information technology and empowering education

The Reform of Talent Cultivation Mode for Big Data and Artificial Intelligence Modern Industrial Colleges Based on the Agile Education Philosophy

The Reform and Practice of College Computer Basic Courses Towards Computational Thinking and Empowerment Education Under the Background of New Liberal Arts

Twin extreme learning machine based on heteroskedastic Gaussian noise model and its application in short-term wind-speed forecasting

Models LSSVR and PLSSVR With Heteroscedastic Gaussian Noise Characteristics and Its Application for Short-Term Wind-Speed Forecasting

Exploring the Collaborative Education Path of Labor Education and Innovation and Entrepreneurship Education in Computer Majors

基于截断2-范数损失函数的鲁棒极限学习机

基于高斯噪声的孪生近端最小二乘支持向量回归模型研究及应用

Twin proximal least squares support vector regression machine based on heteroscedastic Gaussian noise

Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application

Density peaks clustering based on k-nearest neighbors and self-recommendation

高斯噪声特性区间ν-支持向量回归机

Multilabel Feature Selection Using Relief and Minimum Redundancy Maximum Relevance Based on Neighborhood Rough Sets

LSSVR Model of G-L Mixed Noise-Characteristic with Its Applications

Multilabel Feature Selection Using Mutual Information and ML-ReliefF for Multilabel Classification

Twin Least Square Support Vector Regression Model Based on Gauss-Laplace Mixed Noise Feature with Its Application in Wind Speed Prediction

Twin Least Squares Support Vector Regression of Heteroscedastic Gaussian Noise Model

Kernel Ridge Regression Model Based on Beta-Noise and Its Application in Short-Term Wind Speed Forecasting

Feature selection using Lebesgue and entropy measures for incomplete neighborhood decision systems

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant

Improved LLE and neighborhood rough sets-based gene selection using Lebesgue measure for cancer classification on gene expression data

An Attribute Reduction Method Using Neighborhood Entropy Measures in Neighborhood Rough Sets

Feature selection using neighborhood entropy-based uncertainty measures for gene expression data classification

Analyzing the Surface Structure of the Binding Domain on DNA and RNA Binding Proteins

A Hybrid Gene Selection Method Based on ReliefF and Ant Colony Optimization Algorithm for Tumor Classification

A Neighborhood Rough Sets-Based Attribute Reduction Method Using Lebesgue and Entropy Measures

ν-Support Vector Regression Model Based on Gauss-Laplace Mixture Noise Characteristic for Wind Speed Prediction

基于异常序列剔除的多变量时间序列结构化预测

BP神经网络与支持向量机模型在智能手机对大学生影响中的评价研究

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE

An Image Segmentation Method Based on Improved Regularized Level Set Model

An Algorithm for Describing the Convex and Concave Shape of Protein Surface

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification

A robust image watermarking scheme using Arnold transform and BP neural network

Analysis and prediction of single-stranded and double-stranded DNA binding proteins based on protein sequences

以教学评估为契机 加强二级学院建设——以衡水学院数学与计算机科学学院建设为例

如何引导学生学习高等数学

衡水市新型城镇化与智慧城市建设研究

噪声特性的回归模型及其在短期风速预报中的应用

粗糙ε-支持向量回归模型

线性系统的预条件GAOR迭代法

基于Beta噪声模型支持向量回归及其应用

具有泛分解态射的加权Moore-Penrose逆

H-矩阵的预条件AOR迭代法收敛性

在《模糊数学》教学中培养大学生的创新能力

广义分裂下的预处理Gauss-Seidel迭代法收敛性的讨论

格上矩阵的加法运算律

一类多参数预条件AOR迭代法

世博会对上海城市健康环境影响力的定量评估模型

分块态射的广义逆

Noble型分块态射的Moore-Penrose逆

具有核的态射的w-加权Drazin逆

矩阵的加权Г逆与线性方程组的解

关于具有泛分解态射的加权Moore-Penrose逆

关于具有泛分解态射f=pgq的加权(i,…,j)逆

关于环上矩阵的加权Moore-Penrose逆

Structural Prediction of Multivariate Time Series Through Outlier Elimination

会议论文

雅可比迭代方法与AOR和GSOR迭代法的比较结果

以教学评估为契机加强二级学院建设——以衡水学院数学与计算机科学学院建设为例