李 俊賢

研究成果

每年研究成果 1994 2004 2005 2006 2010 2011 2012 2020

• 28 期刊論文
• 15 會議論文篇章
• 6 會議論文

每年研究成果

每年研究成果

搜尋結果

• 2020

  Multitarget prediction using an aim-object-based asymmetric neuro-fuzzy system: A novel approach

  Tu, C. H. & Li, C., 14 5月 2020, 於: Neurocomputing. 389, p. 155-169 15 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Fuzzy systems 100%
  • Whales 75%
  • Least-Squares Analysis 53%
  • Learning 35%
  • Neurons 29%
  5 引文 斯高帕斯（Scopus）
• 2019

  Complex neural fuzzy system and its application on multi-class prediction — A novel approach using complex fuzzy sets, IIM and multi-swarm learning

  Li, C. & Tu, C. H., 11月 2019, 於: Applied Soft Computing Journal. 84, 105735.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Fuzzy sets 100%
  • Fuzzy systems 99%
  • Financial markets 22%
  • Particle swarm optimization (PSO) 15%
  • Machine learning 13%
  13 引文 斯高帕斯（Scopus）

• Multiple Function Approximation - A New Approach Using Asymmetric Complex Fuzzy Inference System

  Tu, C. H. & Li, C., 1 11月 2019, 於: Vietnam Journal of Computer Science. 6, 4, p. 407-422 16 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Fuzzy Inference System 100%
  • Function Approximation 68%
  • Fuzzy inference 60%
  • Hybrid Learning 24%
  • Model 19%
  2 引文 斯高帕斯（Scopus）

• Multitarget prediction—A new approach using sphere complex fuzzy sets

  Tu, C. H. & Li, C., 3月 2019, 於: Engineering Applications of Artificial Intelligence. 79, p. 45-57 13 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Fuzzy sets 100%
  • Feature extraction 73%
  • Experiments 11%
  4 引文 斯高帕斯（Scopus）
• 2013

  Adaptive image restoration by a novel neuro-fuzzy approach using complex fuzzy sets

  Li, C., 2013, 於: International Journal of Intelligent Information and Database Systems. 7, 6, p. 479-495 17 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Fuzzy sets 100%
  • Fuzzy systems 99%
  • Image reconstruction 98%
  • Membership functions 19%
  • Degradation 13%
  5 引文 斯高帕斯（Scopus）

• A novel self-organizing complex neuro-fuzzy approach to the problem of time series forecasting

  Li, C., Chiang, T. W. & Yeh, L. C., 1 1月 2013, 於: Neurocomputing. 99, p. 467-476 10 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Fuzzy sets 100%
  • Time series 82%
  • Learning 70%
  • Least-Squares Analysis 26%
  • Fuzzy rules 25%
  26 引文 斯高帕斯（Scopus）

• Complex neurofuzzy ARIMA forecasting - A new approach using complex fuzzy sets

  Li, C. & Chiang, T. W., 2013, 於: IEEE Transactions on Fuzzy Systems. 21, 3, p. 567-584 18 p., 6341815.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Neuro-fuzzy 100%
  • Neuro-fuzzy Systems 85%
  • Moving Average 68%
  • Forecasting 66%
  • Fuzzy sets 60%
  69 引文 斯高帕斯（Scopus）
• 2012

  A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting

  Li, C. & Hu, J. W., 3月 2012, 於: Engineering Applications of Artificial Intelligence. 25, 2, p. 295-308 14 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Swarm intelligence 100%
  • Time series 72%
  • Particle swarm optimization (PSO) 27%
  • Fuzzy systems 17%
  • Intelligent systems 17%
  35 引文 斯高帕斯（Scopus）

• Intelligent financial time series forecasting: A complex neuro-fuzzy approachwith multi-swarm intelligence

  Li, C. & Chiang, T. W., 2012, 於: International Journal of Applied Mathematics and Computer Science. 22, 4, p. 787-800 14 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Neuro-fuzzy Systems 100%
  • Neuro-fuzzy 93%
  • Swarm Intelligence 90%
  • Time Series Forecasting 85%
  • Financial Time Series 74%
  16 引文 斯高帕斯（Scopus）

• Self-learning complex neuro-fuzzy system with complex fuzzy sets and its application to adaptive image noise canceling

  Li, C., Wu, T. & Chan, F. T., 1 10月 2012, 於: Neurocomputing. 94, p. 121-139 19 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Least-Squares Analysis 100%
  • Fuzzy sets 93%
  • Fuzzy systems 93%
  • Learning 65%
  • Noise 61%
  37 引文 斯高帕斯（Scopus）
• 2011

  Adaptive fuzzy approach to function approximation with PSO and RLSE

  Li, C. & Wu, T., 15 9月 2011, 於: Expert Systems with Applications. 38, 10, p. 13266-13273 8 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Particle swarm optimization (PSO) 100%
  • Fuzzy systems 93%
  29 引文 斯高帕斯（Scopus）

• Complex fuzzy model with PSO-RLSE hybrid learning approach to function approximation

  Li, C. & Chiang, T. W., 7月 2011, 於: International Journal of Intelligent Information and Database Systems. 5, 4, p. 409-430 22 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Fuzzy sets 100%
  • Particle swarm optimization (PSO) 79%
  • Fuzzy systems 33%
  • Large scale systems 27%
  • Experiments 11%
  13 引文 斯高帕斯（Scopus）

• Function approximation with complex neuro-fuzzy system using complex fuzzy sets - A new approach

  Li, C. & Chiang, T. W., 7月 2011, 於: New Generation Computing. 29, 3, p. 261-276 16 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Neuro-fuzzy Systems 100%
  • Function Approximation 63%
  • Fuzzy sets 57%
  • Fuzzy systems 56%
  • Complex Systems 56%
  22 引文 斯高帕斯（Scopus）
• 2010

  Computational intelligence hybrid learning approach to time series forecasting

  Li, C., Hu, J. W., Chiang, T. W. & Wu, T., 2010, 於: World Academy of Science, Engineering and Technology. 43, p. 772-779 8 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Artificial intelligence 100%
  • Time series 98%
  • Particle swarm optimization (PSO) 27%
  • Fuzzy systems 17%
  • Chaos theory 16%
  1 引文 斯高帕斯（Scopus）
• 2007

  Fuzzy-neural sliding-mode control for DC-DC converters using asymmetric gaussian membership functions

  Cheng, K. H., Hsu, C. F., Lin, C. M., Lee, T. T. & Li, C., 6月 2007, 於: IEEE Transactions on Industrial Electronics. 54, 3, p. 1528-1536 9 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Membership functions 100%
  • Sliding mode control 95%
  • DC-DC converters 94%
  • Controllers 51%
  • Control systems 33%
  95 引文 斯高帕斯（Scopus）

• Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling

  Li, C. & Cheng, K. H., 16 1月 2007, 於: Fuzzy Sets and Systems. 158, 2, p. 194-212 19 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Hybrid Learning 100%
  • Neuro-fuzzy 83%
  • Neuro-fuzzy Systems 59%
  • Least Squares Estimation 56%
  • System Modeling 55%
  39 引文 斯高帕斯（Scopus）
• 2006

  Computational Intelligence approach to the problem of adaptive noise canceling

  Li, C. & Cheng, K. H., 7月 2006, 於: WSEAS Transactions on Computers. 5, 7, p. 1397-1404 8 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Fuzzy systems 100%
  • Artificial intelligence 83%
  • Adaptive filters 41%
  • Learning systems 19%
  • Learning algorithms 15%

• Hybrid evolutionary soft-computing approach for unknown system identification

  Li, C., Cheng, K. H., Chang, Z. S. & Lee, J. D., 4月 2006, 於: IEICE Transactions on Information and Systems. E89-D, 4, p. 1440-1449 10 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Soft computing 100%
  • Fuzzy systems 87%
  • Identification (control systems) 73%
  • Membership functions 58%
  • Chaos theory 28%

• Soft computing approach to adaptive removal of interference signal

  Li, C. & Tsai, K. B., 9月 2006, 於: WSEAS Transactions on Communications. 5, 9, p. 1719-1724 6 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Fuzzy filters 100%
  • Soft computing 77%
  • Adaptive filters 69%
  • Signal interference 67%
  • Fuzzy logic 56%
  1 引文 斯高帕斯（Scopus）
• 2005

  RO-based self-organizing neuro-fuzzy approach for HDD positioning control

  Li, C., Cheng, K. H., Chen, J. L. & Chen, C. M., 10月 2005, 於: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. E88-A, 10, p. 2615-2625 11 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Neuro-fuzzy 100%
  • Self-organizing 83%
  • Positioning 78%
  • Hard disk storage 68%
  • Fuzzy Controller 67%
• 2004

  Optimization by random search with jumps

  Li, C., Priemer, R. & Cheng, K. H., 21 6月 2004, 於: International Journal for Numerical Methods in Engineering. 60, 7, p. 1301-1315 15 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Random Search 100%
  • Jump 60%
  • Optimization Methods 59%
  • Optimization 55%
  • Optimization Algorithm 39%

• Pseudoerror-based self-organizing neuro-fuzzy system

  Li, C., Lee, C. Y. & Cheng, K. H., 12月 2004, 於: IEEE Transactions on Fuzzy Systems. 12, 6, p. 812-814 3 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Neuro-fuzzy Systems 100%
  • Self-organizing Systems 90%
  • Cranes 58%
  • Fuzzy systems 56%
  • Motion Control 43%
  28 引文 斯高帕斯（Scopus）

• Soft computing approach to feature extraction

  Li, C., Huang, J. Y. & Chen, C. M., 1 10月 2004, 於: Fuzzy Sets and Systems. 147, 1, p. 119-140 22 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Feature Extraction 100%
  • Soft Computing 98%
  • Soft computing 79%
  • Feature extraction 51%
  • Fuzzy sets 28%
  12 引文 斯高帕斯（Scopus）
• 2003

  Self-organizing neuro-fuzzy system for control of unknown plants

  Li, C. & Lee, C. Y., 2月 2003, 於: IEEE Transactions on Fuzzy Systems. 11, 1, p. 135-150 16 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Neuro-fuzzy Systems 100%
  • Self-organizing Systems 90%
  • Fuzzy systems 56%
  • Unknown 35%
  • Training 28%
  82 引文 斯高帕斯（Scopus）
• 2001

  Fuzzy motion control of an auto-warehousing crane system

  Li, C. & Lee, C. Y., 10月 2001, 於: IEEE Transactions on Industrial Electronics. 48, 5, p. 983-994 12 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Cranes 100%
  • Motion control 95%
  • Fuzzy control 93%
  • Fuzzy logic 40%
  • Controllers 24%
  9 引文 斯高帕斯（Scopus）
• 1999

  Fuzzy control of unknown multiple-input-multiple-output plants

  Li, C. & Priemer, R., 1 6月 1999, 於: Fuzzy Sets and Systems. 104, 2, p. 245-267 23 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Multiple-input multiple-output (MIMO) 100%
  • Fuzzy Control 97%
  • Training 75%
  • Fuzzy control 71%
  • Controller 67%
  18 引文 斯高帕斯（Scopus）
• 1997

  Self-learning general purpose PID controller

  Li, C. & Priemer, R., 3月 1997, 於: Journal of the Franklin Institute. 334, 2, p. 167-189 23 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Self-learning 100%
  • PID Controller 94%
  • Fuzzy Logic System 92%
  • Fuzzy logic 50%
  • Learning Algorithm 34%
  8 引文 斯高帕斯（Scopus）
• 1994

  Thin gold film strain gauges

  Li, C., Hesketh, P. J. & Maclay, G. J., 5月 1994, 於: Journal of Vacuum Science and Technology A: Vacuum, Surfaces and Films. 12, 3, p. 813-819 7 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • strain gages 100%
  • Gold 93%
  • Strain gages 87%
  • Gages 84%
  • Thick films 70%
  24 引文 斯高帕斯（Scopus）