语言选择
English
首页
教师相片
论文成果
科研项目
著作成果
软件与专利成果
教学成果
获奖信息
研究领域
已经得到
个称赞 给我点赞
教授 博士生导师 硕士生导师
入职时间：
1985-07-01
所在单位：
数学与统计学院
职务：
Professor
学历：
博士研究生毕业
办公地点：
中南大学，新校区，数理楼，南楼453
性别：
男
联系方式：
houmuzhou@sina.com; hmzw@csu.edu.cn Email： hmzw@csu.edu.cn
学位：
博士学位
在职信息：
在职
毕业院校：
中南大学
学科：
数学
论文成果
当前位置:
中文主页
>>
论文成果
[21]Hou Muzhou*, Liu Chunhui., Liu Xia, Zhou Tao.Numerical solution for ruin probability of continuous time model based on neural network algorithm.Neurocomputing,, 2019. 331: (p. 67-76.)
[22]Wen Hou, Muzhou Hou*, Yunlei Yang, Zheng Wang, Qianhong Wu, Xiaoliang Xie.A Novel Robust Method for Solving CMB Receptor Model Based on Enhanced Sampling Monte Carlo Simulation[J].Processes,2019, 7 (3) : 169: 1-14.
[23]Hongli Sun, Muzhou Hou*, Yunlei Yang, Tianle Zhang, Futian Weng, Feng Han.Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm[J].Neural Processing Letters,2019, 50 (2) : 1153–1172.
[24]Yanfei Lu, Qingfei Yin, Hongyi Li, Hongli Sun, Yunlei Yang, Muzhou Hou*.The LS-SVM algorithms for boundary value problems of high-order ordinary differential equations.[J].Advances in Difference Equations,2019,, 195: 1-22.
[25]Chunhui Liu, Muzhou Hou*, Tao Zhou.Forecasting stock index with multi-objective optimization model based on optimized neural network architecture avoiding overfitting.Computer Science and Information Systems., 2018. 15 ((1): p. 211–236.)
[26]Yunlei Yang, Muzhou Hou*, Taohua Liu., Jianshu Luo.Neural network method for lossless two-conductor transmission line equations based on the IELM algorithm.AIP Advances., (2018): (1-14.)
[27]Muzhou Hou*, Wenping PENG., Taohua LIU, Yunlei YANG.Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc.Frontiers of Computer Science,, 2018,12(6) (:1261-1263.)
[28]Muzhou Hou*, Zaher Mundher Yaseen., Nadhir Al-Ansari, Mumtaz Ali, Futian Weng, Tianle Zhang.Global Solar Radiation Prediction Using Hybrid Online Sequential Extreme Learning Machine Model.Energies., 2018,11,34 (,3415:1-19)
[29]Tianle Zhang, Muzhou Hou*, Futian Weng, Yunlei Yang, Hongli Sun, Zheng Wang, Zhong Gao, Jianshu Luo.An Online Learning Algorithm for Voice Activation Detection Based on a Pretrained Online Extreme Learning Machine[C].2018, CSAE '18，October 22–24, 2018, Hohhot, China
[30]Yunlei Yang, Muzhou Hou*, Jianshu Luo.A novel improved extreme learning machine algorithm in solving ordinary differential equations by Legendre neural network methods.Advances in Difference Equations, 2018:469 (1-24)
[31]Jianshu Luo, Hao Zhu, Hongli Sun, Zheng Wang, Yunlei Yang, Tianle Zhang, Muzhou Hou*, Futian Weng.Application of Regularized Extreme Learning Machine Based on BIC Criterion and Genetic Algorithm in Iron Ore Price Forecasting.Advances in Intelligent Systems Research,, 2018,160 (:212-217.)
[32]Liu Xinge, Yuan Xiugui, Liu Hongjuan, Zhu Hao, Yang Yunlei, Liu Taohua, Hou Muzhou.A new hybrid constructive neural network method for impacting and its application on tungsten price prediction.Applied Intelligence., 2017. 47 ((1): p. 28-43.)
[33]Hou Muzhou., Liu Taohua.A Fast Implicit Finite Difference Method for Fractional Advection-Dispersion Equations with Fractional Derivative Boundary Conditions.Advances in Mathematical Physics., 2017(11): (p. 1-8.)
[34]Moon Ho Lee, Zhang Yangchun, Chen Ming, Hou Muzhou.A Quantitative Evaluation Model of Classroom Teaching Based on Floridi’s Semantic Information Formula.Proceedings of ICIST 2015, 2015: 79-82.
[35]Zhang Yangchun, Chen Ming, Hou Muzhou.A Self-organizing Mixture Extreme Leaning Machine for Time Series Forecasting.Proceedings of ELM-2014, 2014, 3 (1) : 225-236.
[36]Hou Muzhou.A New Constructive Neural Network Method for Noise Processing and its Application on Stock Market Prediction.Applied Soft Computing, 2014, 15 (1) : 57-66.
[37]Moon Ho Lee, Hou Muzhou.Pseudo Jacket Matrix and the Fast Algorithm for its Pseudo Inverse.The 19th International Workshop on Multimedia Sign, 2013, 19 (1) : 1-8.
[38]Jinjing Shi, Ying Guo, Moon Ho Lee, Hou Muzhou.A new method to process noise datum by decay RBF neural works.The 18th International Workshop on Multimedia Sign, 2012, 18 (1) : 9-14.
[39]Han Xuli, Hou Muzhou.Multivariate numerical approximation using constructive L2（R） RBF neural network.Neural Computing & Applications, 2012, 21 (1) : 25-34.
[40]Han Xuli., Hou Muzhou.The multidimensional function approximation based on constructive wavelet RBF neural network.Applied Soft Computing, 2011, 11 (2) : 2173～2177.
共65条 2/4
首页
上页
下页
尾页
页
