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132 results on '"Xie, Keming"'

1. Fault Diagnosis Based on Artificial Immune and Principal Component Analysis

Author

Han, Xiaoming, Xie, Keming, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Wen, Peng, editor, Li, Yuefeng, editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Tsumoto, Shusaku, editor, and Wang, Guoyin, editor

Published
2009
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2. Intelligent Failure Diagnosis Algorithm Based on Binary Granule Neural Network

Author

Xie, Jun, Li, Feng, Xie, Keming, Xu, Xinying, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Wen, Peng, editor, Li, Yuefeng, editor, Polkowski, Lech, editor, Yao, Yiyu, editor, Tsumoto, Shusaku, editor, and Wang, Guoyin, editor

Published
2009
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3. Research on Rough Set Theory and Applications in China

Author

Wang, Guoyin, Zhang, Qinghua, Huang, Houkuan, Ye, Dongyi, Hu, Qinghua, Hu, Xuegang, Shi, Zhongzhi, Li, Yongli, Shang, Lin, An, Liping, Sai, Ying, Chen, Shanben, Liang, Jiye, Qin, Keyun, Zeng, Huanglin, Xie, Keming, Miao, Duoqian, Min, Fan, Wu, Zhaocong, Wu, Weizhi, Dai, Jianhua, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Peters, James F., editor, and Skowron, Andrzej, editor

Published
2008
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5. Knowledge-Based Genetic Algorithms

Author

Yan, Gaowei, Xie, Gang, Chen, Zehua, Xie, Keming, Carbonell, Jaime G., editor, Siekmann, J\'org, editor, Wang, Guoyin, editor, Li, Tianrui, editor, Grzymala-Busse, Jerzy W., editor, Miao, Duoqian, editor, Skowron, Andrzej, editor, and Yao, Yiyu, editor

Published
2008
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6. Parallel Artificial Immune Clustering Algorithm Based on Granular Computing

Author

Xie, Keming, Hao, Xiaoli, Xie, Jun, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, An, Aijun, editor, Stefanowski, Jerzy, editor, Ramanna, Sheela, editor, Butz, Cory J., editor, Pedrycz, Witold, editor, and Wang, Guoyin, editor

Published
2007
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7. Decision Rules Extraction Strategy Based on Bit Coded Discernibility Matrix

Author

Qiu, Yuxia, Xie, Keming, Xie, Gang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Wang, Guo-Ying, editor, Peters, James F., editor, Skowron, Andrzej, editor, and Yao, Yiyu, editor

Published
2006
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8. Rough-Sets-Based Combustion Status Diagnosis

Author

Xie, Gang, Liu, Xuebin, Wang, Lifei, Xie, Keming, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Wang, Guo-Ying, editor, Peters, James F., editor, Skowron, Andrzej, editor, and Yao, Yiyu, editor

Published
2006
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9. The LD-CELP Gain Filter Based on BP Neural Network

Author

Zhang, Gang, Xie, Keming, Zhao, Zhefeng, Xue, Chunyu, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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10. Application of BP Network-Based Multi-sensor Fusion Techniques in Measurement of the Unburned Carbon in Fly Ash

Author

Yan, Gaowei, Xie, Gang, Xie, Keming, Chen, Zehua, Wang, Hongbing, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Liao, Xiao-Feng, editor, and Yi, Zhang, editor

Published
2005
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11. A Quick Optimizing Multi-variables Method with Complex Target Function Based on the Principle of Artificial Immunology

Author

Zhang, Gang, Xie, Keming, Guo, Hongbo, Zhao, Zhefeng, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Lipo, editor, Chen, Ke, editor, and Ong, Yew Soon, editor

Published
2005
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12. The Application of IMEA in Nonlinearity Correction of VCO Frequency Modulation

Author

Yan, Gaowei, Xie, Jun, Xie, Keming, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Lipo, editor, Chen, Ke, editor, and Ong, Yew Soon, editor

Published
2005
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13. Clone Mind Evolution Algorithm

Author

Xie, Gang, Xu, Xinying, Xie, Keming, Chen, Zehua, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Lipo, editor, Chen, Ke, editor, and Ong, Yew Soon, editor

Published
2005
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14. Research on Clone Mind Evolution Algorithm

Author

Xie, Gang, Guo, Hongbo, Xie, Keming, Zhao, Wenjing, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Ślęzak, Dominik, editor, Wang, Guoyin, editor, Szczuka, Marcin, editor, Düntsch, Ivo, editor, and Yao, Yiyu, editor

Published
2005
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15. Fuzzy Forecast Modeling for Gas Furnace Based on Fuzzy Sets and Rough Sets Theory

Author

Xie, Keming, Chen, Zehua, Qiu, Yuxia, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Ślęzak, Dominik, editor, Yao, JingTao, editor, Peters, James F., editor, Ziarko, Wojciech, editor, and Hu, Xiaohua, editor

Published
2005
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26. Dual-variables decoupling control system based on artificial neural network

Author

Ding Fang, Xie Keming, and Zhan Feng

Subjects
Nonlinear system, Engineering, Temperature control, Artificial neural network, Control theory, business.industry, Control system, Control variable, Process control, PID controller, Control engineering, business, Decoupling (electronics)
Abstract

Because there is a couple between the heating layer and the cooling one of the boiler in a PCT-II process control system, tuning the PID parameters is quite difficult and takes a long time to control the temperatures of the boiler besides some steady-state error. In this paper a decoupling control method based on the neural network is presented. The algorithm adopts tandem structure with the PID controller and an artificial neural network. And some appropriate compensation is used to eliminate the influence among the control variables, which can control the temperature effectively in the system. The experiment shows that the decoupling controller could almost eliminate the coupling between the variables and the steady-state output error, and achieve a better decoupling control by using the artificial neural networks to adapt to the nonlinear, time-varying characteristics.

Published
2008
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30. Research on Rough Set Theory and Applications in China

Author

Wang, Guoyin, primary, Zhang, Qinghua, additional, Huang, Houkuan, additional, Ye, Dongyi, additional, Hu, Qinghua, additional, Hu, Xuegang, additional, Shi, Zhongzhi, additional, Li, Yongli, additional, Shang, Lin, additional, An, Liping, additional, Sai, Ying, additional, Chen, Shanben, additional, Liang, Jiye, additional, Qin, Keyun, additional, Zeng, Huanglin, additional, Xie, Keming, additional, Miao, Duoqian, additional, Min, Fan, additional, Wu, Zhaocong, additional, Wu, Weizhi, additional, and Dai, Jianhua, additional

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32. Research of error tolerance plan of data storage for time-recording on automobile driver training

Author

Zhang Li-yi, Xie Keming, Li Qiang, and Wang Hua-kui

Subjects
Soft error, business.industry, Computer science, Computer data storage, Redundancy (engineering), Code (cryptography), FX.25 Forward Error Correction, Constant-weight code, Low-density parity-check code, business, Error detection and correction, Computer hardware, Reliability engineering
Abstract

This paper introduces the principle of the time-recording on automobile driver training, discusses an error tolerance plan of data storage countering some possible inferences of the system and analyses of the double-layered (16, 11, 4) minimal optimal odd-weight error-correcting code. From the analysis, one can conclude that this code has the merit of low redundancy and strong ability of anti-inference and detecting and correcting error.

Published
2003
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33. The SPWM inversion mode of suppressing harmonic waves based on genetic algorithm

Author

Du Yonggui and Xie Keming

Subjects
Switching time, Engineering, Control theory, business.industry, Harmonics, Genetic algorithm, Inverter, Inversion (meteorology), business, Computer Science::Databases
Abstract

During the inversion process of an SPWM inverter, it is very important to obtain the moments of a power switch. The magnitude of the harmonic waves can be diminished by the good moments. In this paper, the new method of reducing the influence of all harmonic waves, which can obtain the optimal switching time by using genetic algorithms, is presented. Simulation results show that this method can suppress effectively low-order harmonic wave with the limited items.

Published
2002
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34. Mind-evolution-based machine learning: an efficient approach of evolution computation

Author

Xie Keming, Sun Yan, and Sun Chengyi

Subjects
Mathematical optimization, Computational complexity theory, business.industry, Computer science, Computation, Machine learning, computer.software_genre, Evolutionary computation, Nonlinear programming, Rate of convergence, Genetic algorithm, Artificial intelligence, business, computer
Abstract

This paper analyses mind-evolution-based machine learning (MEBML) that has been proposed recently. The paper first discusses the practical problems in the implement of MEBML in numerical optimization. Then the paper gives the criterion used to judge whether a group is mature, also the paper proposes a adaptive method to adjust the parameters in similar taxis. The results of the experiment of numerical optimization are given. The experiment shows that the global convergence rate and computation efficiency are both improved above 20% compared with standard genetic algorithm. The improvement in convergence rate and efficiency is due to the distinctive structure of MEBML and the introduction of similar taxis and dissimilation.

Published
2002
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35. Mind-evolution-based machine learning and applications

Author

Sun Chengyi, Xie Keming, and Sun Yan

Subjects
Computational complexity theory, Rate of convergence, business.industry, Computer science, Genetic algorithm, Artificial intelligence, business, Machine learning, computer.software_genre, computer, Evolutionary computation
Abstract

This paper describes the foundation of proposing MEBML (mind-evolution-based machine learning) that was recently presented. Then the paper analyses the performance mechanism of MEBML which is different from GA (genetic algorithm), and its characteristics. With its own distinctive mechanism MEBML improved the efficiency and convergence rate greatly compared with GA. The paper also summarizes the recent development of researches on MEBML, which includes several different strategies of similarity and dissimilarity, the proof of convergence of MEBML and its applications. In addition the authors discuss the future work of MEBML.

Published
2000
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