李 慶鴻

研究成果

每年研究成果 1999 2004 2009 2010 2011 2012 2014 2015 2020 2021 2023

• 73 Article
• 37 Conference contribution
• 3 Conference article
• 2 Paper
• 1 更多
  • 1 Editorial

每年研究成果

每年研究成果

搜尋結果

• 2023

  Low-Cost Real-Time Automated Optical Inspection Using Deep Learning and Attention Map

  Shih, Y., Kuo, C. C. & Lee, C. H., 2023, 於: Intelligent Automation and Soft Computing. 35, 2, p. 2087-2099 13 p.

  研究成果: Article › 同行評審

  開啟存取

  • Production Line 100%
  • Real-time 98%
  • Inspection 95%
  • Learning 78%
  • Deep learning 77%
• 2022

  Glaucoma Detection Using Support Vector Machine Method Based on Spectralis OCT

  Wu, C. W., Chen, H. Y., Chen, J. Y. & Lee, C. H., 2月 2022, 於: Diagnostics. 12, 2, 391.

  研究成果: Article › 同行評審

  開啟存取

  • Support Vector Machine 100%
  • Optical Coherence Tomography 81%
  • Glaucoma 77%
  • Fiber 52%
  • Area Under Curve 44%
  3 引文 斯高帕斯（Scopus）

• Online Domain Adaptation for Rolling Bearings Fault Diagnosis with Imbalanced Cross-Domain Data

  Chao, K. C., Chou, C. B. & Lee, C. H., 1 6月 2022, 於: Sensors. 22, 12, 4540.

  研究成果: Article › 同行評審

  開啟存取

  • Bearing 100%
  • Roller bearings 98%
  • Failure analysis 75%
  • Transfer learning 52%
  • Labeled data 51%
  2 引文 斯高帕斯（Scopus）

• Robust tool wear monitoring system development by sensors and feature fusion

  Lin, Y. R., Lee, C. H. & Lu, M. C., 2022, (Accepted/In press) 於: Asian Journal of Control.

  研究成果: Article › 同行評審

  • Fusion reactions 100%
  • Feature extraction 95%
  • Torque 91%
  • Wear of materials 90%
  • Monitoring 70%
  4 引文 斯高帕斯（Scopus）

• SoC-based Early Failure Detection System Using Deep Learning for Tool Wear

  Hung, C. W., Lee, C. H., Kuo, C. C. & Zeng, S. X., 2022, (Accepted/In press) 於: IEEE Access. p. 1 1 p.

  研究成果: Article › 同行評審

  開啟存取

  • System-on-chip 100%
  • Wear 91%
  • Deep learning 87%
  • Wear of materials 71%
  • Machining 63%

• Transmission Power Control in Wireless Sensor Networks Using Fuzzy Adaptive Data Rate

  Hung, C. W., Zhuang, Y. D., Lee, C. H., Wang, C. C. & Yang, H. H., 12月 2022, 於: Sensors. 22, 24, 9963.

  研究成果: Article › 同行評審

  開啟存取

  • Internet of Things 100%
  • power transmission 70%
  • Power control 51%
  • Communication 51%
  • fuzzy systems 49%
• 2021

  Classification of Imbalanced Data Using Deep Learning with Adding Noise

  Fan, W. W. & Lee, C. H., 2021, 於: Journal of Sensors. 2021, 1735386.

  研究成果: Article › 同行評審

  開啟存取

  • learning 100%
  • Convolutional neural networks 83%
  • Deep learning 82%
  • minorities 78%
  • education 22%
  3 引文 斯高帕斯（Scopus）

• Deep learning approach for vibration signals applications

  Chen, H. Y. & Lee, C-H., 7 6月 2021, 於: Sensors. 21, 11, 3929.

  研究成果: Article › 同行評審

  開啟存取

  • Deep Learning 100%
  • Vibration 80%
  • learning 78%
  • Convolutional neural networks 65%
  • Deep learning 64%
  17 引文 斯高帕斯（Scopus）

• Device Light Fingerprints Identification Using MCU-Based Deep Learning Approach

  Hung, C. W., Wu, J. R. & Lee, C. H., 2021, 於: IEEE Access. 9, p. 168134-168140 7 p.

  研究成果: Article › 同行評審

  開啟存取

  • Deep learning 100%
  • Flexibility 89%
  • Cellular telephones 53%
  • Application 35%
  • Intelligent buildings 34%

• End-to-End Deep Learning by MCU Implementation: An Intelligent Gripper for Shape Identification

  Hung, C-W., Zeng, S-X., Lee, C-H. & Li, W-T., 2月 2021, 於: Sensors. 21, 3, 17 p., 891.

  研究成果: Article › 同行評審

  • Deep Learning 100%
  • Grippers 85%
  • learning 78%
  • Microcontrollers 70%
  • Convolutional neural networks 65%
  13 引文 斯高帕斯（Scopus）

• Estimation of tool wear and surface roughness development using deep learning and sensors fusion

  Huang, P. M. & Lee, C. H., 2 8月 2021, 於: Sensors. 21, 16, 5338.

  研究成果: Article › 同行評審

  開啟存取

  • multisensor fusion 100%
  • Deep Learning 94%
  • Vibration 76%
  • learning 74%
  • Surface Roughness 68%
  11 引文 斯高帕斯（Scopus）
• 2020

  Adaptive model-free coupling controller design for multi-axis motion systems

  Chen, B. S. & Lee, C. H., 1 5月 2020, 於: Applied Sciences (Switzerland). 10, 10, 3592.

  研究成果: Article › 同行評審

  開啟存取

  • Fuzzy neural networks 100%
  • Recurrent neural networks 89%
  • controllers 88%
  • Error 64%
  • Chemical Transformation 54%
  4 引文 斯高帕斯（Scopus）

• Intelligent Machining System Based on CNC Controller Parameter Selection and Optimization

  Chiu, H. W. & Lee, C. H., 2020, 於: IEEE Access. 8, p. 51062-51070 9 p., 9034184.

  研究成果: Article › 同行評審

  開啟存取

  • Machining 100%
  • Controllers 41%
  • Fuzzy inference 24%
  • Surface Smoothness 23%
  • Particle swarm optimization (PSO) 12%
  6 引文 斯高帕斯（Scopus）

• Nonlinear fuzzy neural controller design via em-based hybrid algorithm

  Lee, C. H. & Lee, Y. C., 2020, 於: International Journal of Computational Intelligence in Control. 12, 1, p. 101-116 16 p.

  研究成果: Article › 同行評審

  • Hybrid Algorithm 100%
  • Controller Design 93%
  • Electromagnetism 89%
  • Controller 75%
  • Particle Swarm Optimization Algorithm 71%

• Prognosis of bearing and gear wears using convolutional neural network with hybrid loss function

  Lo, C. C., Lee, C. H. & Huang, W. C., 6月 2020, 於: Sensors (Switzerland). 20, 12, p. 1-18 18 p., 3539.

  研究成果: Article › 同行評審

  開啟存取

  • prognosis 100%
  • Bearing 76%
  • Wear 63%
  • Convolutional neural networks 61%
  • Cluster Analysis 61%
  13 引文 斯高帕斯（Scopus）

• Vibration Signals Analysis by Explainable Artificial Intelligence (XAI) Approach: Application on Bearing Faults Diagnosis

  Chen, H. Y. & Lee, C. H., 2020, 於: IEEE Access. 8, p. 134246-134256 11 p., 9131692.

  研究成果: Article › 同行評審

  開啟存取

  • Signal analysis 100%
  • Artificial intelligence 79%
  • Failure analysis 77%
  • Convolutional neural networks 41%
  • Application 28%
  39 引文 斯高帕斯（Scopus）

• Virtual feed drive system of machine tools development and applications in diagnosis and servo-tuning

  Lee, K. F. & Lee, C. H., 2020, (Accepted/In press) 於: Asian Journal of Control.

  研究成果: Article › 同行評審

  開啟存取

  • Machine tools 100%
  • Tuning 79%
  • Optimal systems 41%
  • Particle swarm optimization (PSO) 28%
  • Machining 27%
  3 引文 斯高帕斯（Scopus）
• 2019

  Electricity consumption prediction for buildings using multiple adaptive network-based fuzzy inference system models and gray relational analysis

  Chen, H. Y. & Lee, C. H., 11月 2019, 於: Energy Reports. 5, p. 1509-1524 16 p.

  研究成果: Article › 同行評審

  開啟存取

  • Fuzzy inference 100%
  • Electricity 70%
  • Alarm systems 15%
  • Power management 14%
  • Error analysis 12%
  22 引文 斯高帕斯（Scopus）

• Regressor-free adaptive fuzzy force tracking control of redundant robot manipulator for task space

  Chu, C. H. & Lee, C. H., 2019, 於: Advances in Mechanical Engineering. 11, 9

  研究成果: Article › 同行評審

  開啟存取

  • Manipulators 100%
  • Robots 73%
  • Controllers 61%
  • Steepest descent method 47%
  • Uncertainty 47%
  3 引文 斯高帕斯（Scopus）

• Robust adaptive backstepping controller for a class of nonlinear cascade systems via fuzzy neural networks

  Lee, C. H., Chung, B. R. & Chien, J. C., 7月 2019, 於: International Journal of Computational Intelligence in Control. 11, 2, p. 1-9 9 p.

  研究成果: Article › 同行評審

  • Fuzzy Neural Network 100%
  • Backstepping 90%
  • Cascade 75%
  • Fuzzy neural networks 73%
  • Controller 71%
• 2017

  Adaptive Impedance Force Controller Design for Robot Manipulator including Actuator Dynamics

  Jhan, Z. Y. & Lee, C. H., 1 12月 2017, 於: International Journal of Fuzzy Systems. 19, 6, p. 1739-1749 11 p.

  研究成果: Article › 同行評審

  • Impedance Control 100%
  • Fuzzy Neural Network 76%
  • Robot Manipulator 73%
  • Controller Design 66%
  • Actuator 62%
  8 引文 斯高帕斯（Scopus）

• Adaptive Iterative Learning Control for Freeway Traffic Flow Systems Using Improved Bacterial Foraging Optimized Desired Traffic Densities Planning

  Wang, Y. C., Chien, C. J., Chi, R., Hou, Z. & Lee, C. H., 1 10月 2017, 於: International Journal of Fuzzy Systems. 19, 5, p. 1492-1511 20 p.

  研究成果: Article › 同行評審

  • Iterative Learning Control 100%
  • Foraging 93%
  • Traffic Flow 83%
  • Highway systems 70%
  • Traffic 69%
  3 引文 斯高帕斯（Scopus）

• Nonlinear Systems Identification and Control Using Uncertain Rule-based Fuzzy Neural Systems with Stable Learning Mechanism

  Lee, C. H., Lee, Y. H. & Lin, C. M., 1 4月 2017, 於: International Journal of Fuzzy Systems. 19, 2, p. 470-488 19 p.

  研究成果: Article › 同行評審

  • Nonlinear System Identification 100%
  • Learning 57%
  • Identification (control systems) 55%
  • Nonlinear systems 53%
  • Learning Rate 32%
  3 引文 斯高帕斯（Scopus）

• Prediction of machining accuracy and surface quality for CNC machine tools using data driven approach

  Chiu, H. W. & Lee, C. H., 12月 2017, 於: Advances in Engineering Software. 114, p. 246-257 12 p.

  研究成果: Article › 同行評審

  • Surface properties 100%
  • Machine tools 98%
  • Machining 79%
  • Milling (machining) 17%
  • Computer aided manufacturing 15%
  45 引文 斯高帕斯（Scopus）

• Remote servo tuning system for multi-axis CNC machine tools using a virtual machine tool approach

  Lin, C. Y. & Lee, C. H., 30 7月 2017, 於: Applied Sciences (Switzerland). 7, 8, 776.

  研究成果: Article › 同行評審

  開啟存取

  • numerical control 100%
  • machine tools 92%
  • Machining 82%
  • Virtual machine 64%
  • Machine tools 62%
  11 引文 斯高帕斯（Scopus）
• 2016

  Blind source separation with adaptive learning rates for image encryption

  Huang, M. T., Lee, C. H. & Lin, C. M., 2016, 於: Journal of Intelligent and Fuzzy Systems. 30, 1, p. 451-460 10 p.

  研究成果: Article › 同行評審

  • Image Encryption 100%
  • Adaptive Learning 96%
  • Blind Source Separation 90%
  • Learning Rate 80%
  • Blind source separation 68%
  2 引文 斯高帕斯（Scopus）

• Gain-margins and phase-margins of multivariable time-delay systems

  Ma, T. H., Lin, C. M., Chao, F., Hsu, C. F., Juang, J. G. & Lee, C. H., 2016, 於: Journal of Marine Science and Technology (Taiwan). 24, 4, p. 736-743 8 p.

  研究成果: Article › 同行評審

  • control system 100%
  • Time delay 84%
  • Control systems 63%
  • Missiles 52%
  • computer simulation 50%
  1 引文 斯高帕斯（Scopus）

• Robust adaptive position and force controller design of robot manipulator using fuzzy neural networks

  Lee, C. H. & Wang, W. C., 1 7月 2016, 於: Nonlinear Dynamics. 85, 1, p. 343-354 12 p.

  研究成果: Article › 同行評審

  • Fuzzy Neural Network 100%
  • Robot Manipulator 96%
  • Controller Design 87%
  • Fuzzy neural networks 73%
  • Manipulators 55%
  22 引文 斯高帕斯（Scopus）
• 2015

  A modification artificial bee colony algorithm for optimization problems

  Liang, J. H. & Lee, C. H., 2015, 於: Mathematical Problems in Engineering. 2015, 581391.

  研究成果: Article › 同行評審

  開啟存取

  • Mobile robots 100%
  • Managers 95%
  • Optimization Problem 79%
  • Strategy 78%
  • Mobile Robot 71%
  11 引文 斯高帕斯（Scopus）

• Efficient collision-free path-planning of multiple mobile robots system using efficient artificial bee colony algorithm

  Liang, J. H. & Lee, C. H., 1月 2015, 於: Advances in Engineering Software. 79, p. 47-56 10 p.

  研究成果: Article › 同行評審

  • Motion planning 100%
  • Mobile robots 93%
  • Robots 44%
  • Collision avoidance 34%
  93 引文 斯高帕斯（Scopus）

• Network-based Type-2 fuzzy system with water flow like algorithm for system identification and signal processing

  Kuo, C. T. & Lee, C. H., 2015, 於: Smart Science. 3, 1, p. 21-34 14 p.

  研究成果: Article › 同行評審

  • System Identification 100%
  • Fuzzy Systems 94%
  • Signal Processing 87%
  • Fuzzy systems 85%
  • Fuzzy Inference System 84%
  10 引文 斯高帕斯（Scopus）

• Network-based Type-2 Fuzzy System with Water Flow Like Algorithm for System Identification and Signal Processing

  Kuo, C. T. & Lee, C. H., 2015, 於: Smart Science. 3, 1, p. 21-34 14 p.

  研究成果: Article › 同行評審

  開啟存取

  • System Identification 100%
  • Fuzzy Systems 94%
  • Signal Processing 87%
  • Fuzzy systems 85%
  • Fuzzy Inference System 84%
• 2014

  Adaptive function-link fuzzy CMAC control system design for MIMO nonlinear chaotic systems

  Li, H. Y., Lin, C. M., Lee, C. H. & Juang, J. G., 1 12月 2014, 於: International Journal of Fuzzy Systems. 16, 4, p. 577-590 14 p.

  研究成果: Article › 同行評審

  • Control System Design 100%
  • Fuzzy Model 84%
  • Link Function 80%
  • Chaotic systems 75%
  • Chaotic System 72%
  8 引文 斯高帕斯（Scopus）

• An efficient interval type-2 fuzzy CMAC for chaos time-series prediction and synchronization

  Lee, C. H., Chang, F. Y. & Lin, C. M., 3月 2014, 於: IEEE Transactions on Cybernetics. 44, 3, p. 329-341 13 p., 6502676.

  研究成果: Article › 同行評審

  • Chaos theory 100%
  • Time series 85%
  • Synchronization 78%
  • Controllers 53%
  • Fuzzy neural networks 22%
  95 引文 斯高帕斯（Scopus）

• ANFIS-based indoor location awareness system for the position monitoring of patients

  Lin, C. M., Mon, Y. J., Lee, C. H., Juang, J. G. & Rudas, I. J., 1月 2014, 於: Acta Polytechnica Hungarica. 11, 1, p. 37-48 12 p.

  研究成果: Article › 同行評審

  • Indoor positioning systems 100%
  • Fuzzy inference 76%
  • Monitoring 41%
  8 引文 斯高帕斯（Scopus）

• An interval type-2 fuzzy system with a species-based hybrid algorithm for nonlinear system control design

  Li, C. T., Lee, C. H., Chang, F. Y. & Lin, C. M., 2014, 於: Mathematical Problems in Engineering. 2014, 735310.

  研究成果: Article › 同行評審

  開啟存取

  • Control System Design 100%
  • Nonlinear control systems 85%
  • Hybrid Algorithm 84%
  • Nonlinear Control Systems 78%
  • Fuzzy Systems 76%
  6 引文 斯高帕斯（Scopus）

• DSP-Based optical character recognition system using interval type-2 neural fuzzy system

  Lee, C. H., Chang, F. Y. & Lin, C. M., 3月 2014, 於: International Journal of Fuzzy Systems. 16, 1, p. 86-96 11 p.

  研究成果: Article › 同行評審

  • Digital Signal Processor 100%
  • Optical Character Recognition 99%
  • Interval Systems 70%
  • Optical character recognition 62%
  • Fuzzy Systems 60%
  4 引文 斯高帕斯（Scopus）

• Output recurrent wavelet neural network-based adaptive backstepping controller for a class of MIMO nonlinear non-affine uncertain systems

  Lee, C. H. & Chang, H. H., 4月 2014, 於: Neural Computing and Applications. 24, 5, p. 1035-1045 11 p.

  研究成果: Article › 同行評審

  • Uncertain systems 100%
  • Backstepping 96%
  • MIMO systems 82%
  • Neural networks 53%
  • Controllers 47%
  8 引文 斯高帕斯（Scopus）

• Type-2 fuzzy cerebellar model articulation controller-based learning rate adjustment for blind source separation

  Huang, M. T., Lee, C. H. & Lin, C. M., 1 9月 2014, 於: International Journal of Fuzzy Systems. 16, 3, p. 411-421 11 p.

  研究成果: Article › 同行評審

  • Blind Source Separation 100%
  • Learning Rate 89%
  • Fuzzy Model 82%
  • Blind source separation 76%
  • Adjustment 64%
  3 引文 斯高帕斯（Scopus）
• 2013

  Nonlinear control of benchmark problems using TSK-type fuzzy neural network

  Lee, C. H. & Lai, W. Y., 2013, 於: Neural Computing and Applications. 23, SUPPL1, p. 83-94 12 p.

  研究成果: Article › 同行評審

  • Fuzzy neural networks 100%
  • Controllers 46%
  • Asymptotic stability 30%
  • Membership functions 29%
  • Linear matrix inequalities 27%
  4 引文 斯高帕斯（Scopus）

• Observer-based adaptive control for a class of nonlinear non-affine systems using recurrent-type fuzzy logic systems

  Lee, C-H. & Hsueh, H. Y., 3月 2013, 於: International Journal of Fuzzy Systems. 15, 1, p. 55-65 11 p.

  研究成果: Article › 同行評審

  • Fuzzy Logic System 100%
  • Adaptive Control 72%
  • Observer 67%
  • Tracking Control 63%
  • Robot Manipulator 63%
  6 引文 斯高帕斯（Scopus）
• 2012

  Adaptive backstepping controller design for nonlinear uncertain systems using fuzzy neural systems

  Lee, C. H. & Chung, B. R., 1 10月 2012, 於: International Journal of Systems Science. 43, 10, p. 1855-1869 15 p.

  研究成果: Article › 同行評審

  • Backstepping Design 100%
  • Uncertain Nonlinear Systems 91%
  • Controller Design 78%
  • Fuzzy Neural Network 75%
  • Fuzzy neural networks 66%
  23 引文 斯高帕斯（Scopus）

• A hybrid of electromagnetism-like mechanism and back-propagation algorithms for recurrent neural fuzzy systems design

  Lee, C. H., Chang, F. K., Kuo, C. T. & Chang, H. H., 1 2月 2012, 於: International Journal of Systems Science. 43, 2, p. 231-247 17 p.

  研究成果: Article › 同行評審

  • Back-propagation Algorithm 100%
  • Electromagnetism 86%
  • System Design 80%
  • Fuzzy Systems 71%
  • Fuzzy systems 64%
  17 引文 斯高帕斯（Scopus）

• Enhancing the predictive coding efficiency with control technologies for lossless compression of images

  Lee, C. H. & Kau, L. J., 4月 2012, 於: IET Image Processing. 6, 3, p. 251-263 13 p.

  研究成果: Article › 同行評審

  • Control systems 100%
  • Pixels 91%
  • Fuzzy neural networks 46%
  • Feedback 25%
  • Controllers 21%
  6 引文 斯高帕斯（Scopus）

• Experimental implementation of nonlinear TORA system and adaptive backstepping controller design

  Lee, C. H. & Chang, S. K., 6月 2012, 於: Neural Computing and Applications. 21, 4, p. 785-800 16 p.

  研究成果: Article › 同行評審

  • Backstepping 100%
  • Actuators 68%
  • Neural networks 55%
  • Controllers 48%
  • Trajectories 12%
  37 引文 斯高帕斯（Scopus）

• Nonlinear systems design by a novel fuzzy neural system via hybridization of electromagnetism-like mechanism and particle swarm optimisation algorithms

  Lee, C. H. & Lee, Y. C., 1 3月 2012, 於: Information sciences. 186, 1, p. 59-72 14 p.

  研究成果: Article › 同行評審

  • Particle Swarm Optimization Algorithm 100%
  • Electromagnetism 88%
  • Nonlinear Systems 84%
  • System Design 81%
  • Particle Swarm Optimization 80%
  40 引文 斯高帕斯（Scopus）

• On-line adaptive interval type-2 fuzzy controller design via stable SPSA learning mechanism

  Lee, C. H., Chang, F. Y. & Lin, C. M., 12月 2012, 於: International Journal of Fuzzy Systems. 14, 4, p. 489-500 12 p.

  研究成果: Article › 同行評審

  • Fuzzy Controller 100%
  • Controller Design 88%
  • Stochastic Approximation 74%
  • Approximation algorithms 69%
  • Learning 58%
  7 引文 斯高帕斯（Scopus）

• Performance enhancement of the differential evolution algorithm using local search and a self-adaptive scaling factor

  Lee, C. H., Kuo, C. T. & Chang, H. H., 4月 2012, 於: International Journal of Innovative Computing, Information and Control. 8, 4, p. 2665-2679 15 p.

  研究成果: Article › 同行評審

  • Differential Evolution Algorithm 100%
  • BP Algorithm 87%
  • Scaling Factor 86%
  • Local Search 76%
  • Enhancement 76%
  10 引文 斯高帕斯（Scopus）
• 2011

  A species-based improved electromagnetism-like mechanism algorithm for TSK-type interval-valued neural fuzzy system optimization

  Lee, C. H., Li, C. T. & Chang, F. Y., 16 5月 2011, 於: Fuzzy Sets and Systems. 171, 1, p. 22-43 22 p.

  研究成果: Article › 同行評審

  • Electromagnetism 100%
  • Fuzzy Systems 82%
  • Fuzzy systems 74%
  • Membership functions 59%
  • Optimization 53%
  21 引文 斯高帕斯（Scopus）

• Interval type-2 recurrent fuzzy neural system for nonlinear systems control using stable simultaneous perturbation stochastic approximation algorithm

  Lee, C. H. & Chang, F. Y., 2011, 於: Mathematical Problems in Engineering. 2011, 102436.

  研究成果: Article › 同行評審

  開啟存取

  • Nonlinear control systems 100%
  • Stochastic Algorithms 92%
  • Nonlinear Control Systems 92%
  • Stochastic Approximation 88%
  • Approximation algorithms 83%
  10 引文 斯高帕斯（Scopus）