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Jinshou Yu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

15

Venues

3

Active years

1999–2007

Best venue rank

National

Where they publish

Papers

15 indexed papers, newest first.

YearVenueTitleAuthors
2007ICNCAn Improved Bagging Neural Network Ensemble Algorithm and Its Application.Ruqing Chen, Jinshou Yu
2007ICNCResearch and Application of a Hierarchical Fault Diagnosis System Based on Support Vector Machine.Ailun Liu, Xiaoyan Yuan, Jinshou Yu
2007ICNCA Hybrid Optimization Method Based on Cellular Automata and its Application in Soft-Sensing Modeling.Yufa Xu, Guochu Chen, Jinshou Yu
2006ICNCA Modified Adaptive Chaotic Binary Ant System and Its Application in Chemical Process Fault Diagnosis.Ling Wang, Jinshou Yu
2006ICNCThe Kalman Particle Swarm Optimization Algorithm and Its Application in Soft-Sensor of Acrylonitrile Yield.Yufa Xu, Guochu Chen, Jinshou Yu
2006ISNNA New On-Line Modeling Approach to Nonlinear Dynamic Systems.Shirong Liu, Qijiang Yu, Jinshou Yu
2006ISNNDynamic Tracking Control of Mobile Robots Using an Improved Radial Basis Function Neural Network.Shirong Liu, Qijiang Yu, Jinshou Yu
2005ICNCParticle Swarm Optimization Neural Network and Its Application in Soft-Sensing Modeling.Guochu Chen, Jinshou Yu
2005ICNCTwo Sub-swarms Particle Swarm Optimization Algorithm.Guochu Chen, Jinshou Yu
2005ICNCFuzzy Self-Organizing Map Neural Network Using Kernel PCA and the Application.Qiang Lv, Jinshou Yu
2005ICNCFault Feature Selection Based on Modified Binary PSO with Mutation and Its Application in Chemical Process Fault Diagnosis.Ling Wang, Jinshou Yu
2005ICNCA Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE.Hengping Zhao, Jinshou Yu
2005ISNNRobust Modeling for Nonlinear Dynamic Systems Using a Neurofuzzy Approach with Iterative Optimization.Shirong Liu, Simon X. Yang, Jinshou Yu
1999IJCNNModeling delayed coking plant via RBF neural networks.Keijin Zhang, Jinshou Yu
1999IJCNNNonlinear soft sensing modeling by combining multiple RBFN-based models.Wei Zhong, Jinshou Yu