Advanced search    

Search: authors:"Jie-Sheng Wang"

18 papers found.
Use AND, OR, NOT, +word, -word, "long phrase", (parentheses) to fine-tune your search.

Optimized Parameter Settings of Binary Bat Algorithm for Solving Function Optimization Problems

-Sheng Wang; moc.621@gnehseij_gnaw Received 7 October 2017; Accepted 11 April 2018; Published 14 May 2018 Academic Editor: Jit S. Mandeep Copyright © 2018 Xiao-Xu Ma and Jie-Sheng Wang. This is an open ... collection, analysis, algorithm simulation, draft writing, and critical revision of this paper. Jie-Sheng Wang participated in the concept, design and interpretation and commented on the manuscript

Soft-Sensor Modeling of PVC Polymerizing Process Based on F-GMDH-Type Neural Network Algorithm

, Anshan, Liaoning Province, China 3College of Information and Engineering, Shenyang University of Chemical Technology, Shenyang, Liaoning Province, China Correspondence should be addressed to Jie-sheng ... Wang; moc.621@gnehseij_gnaw Received 14 December 2016; Accepted 30 January 2017; Published 19 February 2017 Academic Editor: Fanli Meng Copyright © 2017 Wei-zhen Sun et al. This is an open access

Soft-Sensor Modeling of PVC Polymerizing Process Based on F-GMDH-Type Neural Network Algorithm

, Anshan, Liaoning Province, China 3College of Information and Engineering, Shenyang University of Chemical Technology, Shenyang, Liaoning Province, China Correspondence should be addressed to Jie-sheng ... Wang; moc.621@gnehseij_gnaw Received 14 December 2016; Accepted 30 January 2017; Published 19 February 2017 Academic Editor: Fanli Meng Copyright © 2017 Wei-zhen Sun et al. This is an open access

Feed-Forward Neural Network Soft-Sensor Modeling of Flotation Process Based on Particle Swarm Optimization and Gravitational Search Algorithm

. Authors’ Contribution Jie-Sheng Wang participated in the concept, design, and interpretation and commented on the paper. Shuang Han participated in the data collection, analysis, algorithm simulation, the ... -Sheng Wang and Shuang Han. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided

Hybrid Multiple Soft-Sensor Models of Grinding Granularity Based on Cuckoo Searching Algorithm and Hysteresis Switching Strategy

Liaoning, Anshan 114044, China Received 21 July 2015; Revised 25 November 2015; Accepted 25 November 2015 Academic Editor: Frédéric Lardeux Copyright © 2015 Jie-Sheng Wang and Na-Na Shen. This is an open

Fault Diagnosis Method on Polyvinyl Chloride Polymerization Process Based on Dynamic Kernel Principal Component and Fisher Discriminant Analysis Method

 Jie-sheng Wang,2 and Zi-qing Chai3 1College of Information and Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China 2National Financial Security and System Equipment

GLCM Based Extraction of Flame Image Texture Features and KPCA-GLVQ Recognition Method for Rotary Kiln Combustion Working Conditions

results of rotary kiln combustion working conditions Combustion conditions Complete combustion Incomplete combustion Total Jie-Sheng Wang received his B. Sc. and M. Sc. degrees in control science from

KPCA-ESN Soft-Sensor Model of Polymerization Process Optimized by Biogeography-Based Optimization Algorithm

For solving the problem that the conversion rate of vinyl chloride monomer (VCM) is hard for real-time online measurement in the polyvinyl chloride (PVC) polymerization production process, a soft-sensor modeling method based on echo state network (ESN) is put forward. By analyzing PVC polymerization process ten secondary variables are selected as input variables of the soft...

KPCA-ESN Soft-Sensor Model of Polymerization Process Optimized by Biogeography-Based Optimization Algorithm

For solving the problem that the conversion rate of vinyl chloride monomer (VCM) is hard for real-time online measurement in the polyvinyl chloride (PVC) polymerization production process, a soft-sensor modeling method based on echo state network (ESN) is put forward. By analyzing PVC polymerization process ten secondary variables are selected as input variables of the soft...

SOM Neural Network Fault Diagnosis Method of Polymerization Kettle Equipment Optimized by Improved PSO Algorithm

114044, China Received 13 March 2014; Revised 30 June 2014; Accepted 1 July 2014; Published 24 July 2014 Academic Editor: Ahmed El-Shafie Copyright © 2014 Jie-sheng Wang et al. This is an open access

Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion

Liaoning, Anshan 114044, China Received 19 February 2014; Accepted 18 March 2014; Published 10 April 2014 Academic Editors: P. Agarwal and V. Bhatnagar Copyright © 2014 Jie-sheng Wang et al. This is an

Features Extraction of Flotation Froth Images and BP Neural Network Soft-Sensor Model of Concentrate Grade Optimized by Shuffled Cuckoo Searching Algorithm

-sheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ... Research Center, University of Science & Technology Liaoning, Anshan 114044, China Received 24 April 2014; Accepted 9 June 2014; Published 16 July 2014 Academic Editor: Xin-She Yang Copyright © 2014 Jie

Features Extraction of Flotation Froth Images and BP Neural Network Soft-Sensor Model of Concentrate Grade Optimized by Shuffled Cuckoo Searching Algorithm

-sheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ... Research Center, University of Science & Technology Liaoning, Anshan 114044, China Received 24 April 2014; Accepted 9 June 2014; Published 16 July 2014 Academic Editor: Xin-She Yang Copyright © 2014 Jie

Fault Diagnosis Method of Polymerization Kettle Equipment Based on Rough Sets and BP Neural Network

Polyvinyl chloride (PVC) polymerizing production process is a typical complex controlled object, with complexity features, such as nonlinear, multivariable, strong coupling, and large time-delay. Aiming at the real-time fault diagnosis and optimized monitoring requirements of the large-scale key polymerization equipment of PVC production process, a real-time fault diagnosis...

Fault Diagnosis Method of Polymerization Kettle Equipment Based on Rough Sets and BP Neural Network

Polyvinyl chloride (PVC) polymerizing production process is a typical complex controlled object, with complexity features, such as nonlinear, multivariable, strong coupling, and large time-delay. Aiming at the real-time fault diagnosis and optimized monitoring requirements of the large-scale key polymerization equipment of PVC production process, a real-time fault diagnosis...

Fault Diagnosis Method of Polymerization Kettle Equipment Based on Rough Sets and BP Neural Network

Polyvinyl chloride (PVC) polymerizing production process is a typical complex controlled object, with complexity features, such as nonlinear, multivariable, strong coupling, and large time-delay. Aiming at the real-time fault diagnosis and optimized monitoring requirements of the large-scale key polymerization equipment of PVC production process, a real-time fault diagnosis...

Integrated Modeling and Intelligent Control Methods of Grinding Process

2013; Accepted 3 September 2013 Academic Editor: Jianming Zhan Copyright © 2013 Jie-sheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which

Integrated Modeling and Intelligent Control Methods of Grinding Process

2013; Accepted 3 September 2013 Academic Editor: Jianming Zhan Copyright © 2013 Jie-sheng Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which