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2020 – today
- 2025
[j101]Cheng-Jian Lin, Bing-Hong Chen
, Jyun-Yu Jhang:
IoT-based obstacle avoidance and navigation for UGVs in wooded environments using adaptive fuzzy artificial potential field. Internet Things 30: 101524 (2025)- 2024
- [j100]Chun-Hui Lin, Cheng-Jian Lin, Shyh-Hau Wang:
Quality Assessment of Selective Laser Melting Components Using Quantitative Ultrasound Measurements and Image Texture Analysis. IEEE Access 12: 71797-71807 (2024) - [j99]Cheng-Jian Lin, Xue-Qian Lin, Jyun-Yu Jhang:
Adversarial-Learning-Based Taguchi Convolutional Fuzzy Neural Classifier for Images of Lung Cancer. IEEE Access 12: 72766-72776 (2024) - [j98]Cheng-Jian Lin, Jyun-Yu Jhang, Chen-Chia Chuang:
Navigation control of an autonomous Ackerman robot in unknown environments by using a lidar-sensing-based fuzzy controller. Comput. Sci. Inf. Syst. 21(2): 473-490 (2024) - [j97]Jyun-Yu Jhang, Cheng-Jian Lin:
Optimizing parameters of YOLO model through uniform experimental design for gripping tasks performed by an internet of things-based robotic arm. Internet Things 27: 101332 (2024) - [j96]Tsang-Chuan Chang, Cheng-Jian Lin, Tang-Yun Yang:
Fuzzy validation of Taguchi-based convolutional fuzzy neural classifier for lung cancer imaging. Multim. Tools Appl. 83(41): 89415-89437 (2024) - 2023
- [j95]Cheng-Jian Lin, Bing-Hong Chen, Jyun-Yu Jhang:
Type 2 Fuzzy Neural Controller for Navigation Control of an Ackermann Steering Vehicle. IEEE Access 11: 107917-107929 (2023) - [j94]Chun-Hui Lin, Cheng-Jian Lin, Shyh-Hau Wang:
Quality Assessment of Metal Additive Manufactured Parts by a Multiscale Convolutional Fuzzy Neural Network Using Ultrasound Images as Input Data. IEEE Access 11: 121314-121324 (2023) - [j93]Cheng-Jian Lin, Tang-Yun Yang:
A Fusion-Based Convolutional Fuzzy Neural Network for Lung Cancer Classification. Int. J. Fuzzy Syst. 25(2): 451-467 (2023) - [j92]Chi-Huang Shih, Cheng-Jian Lin, Jyun-Yu Jhang:
Ackerman Unmanned Mobile Vehicle Based on Heterogeneous Sensor in Navigation Control Application. Sensors 23(9): 4558 (2023) - 2022
- [j91]Cheng-Jian Lin, Jyun-Yu Jhang:
Intelligent Traffic-Monitoring System Based on YOLO and Convolutional Fuzzy Neural Networks. IEEE Access 10: 14120-14133 (2022) - [j90]Cheng-Jian Lin, Ta-Sen Wei, Peng-Ta Liu, Bing-Hong Chen, Chi-Huang Shih:
Bed-Exit Behavior Recognition for Real-Time Images within Limited Range. Sensors 22(15): 5495 (2022) - 2021
- [j89]Bo Zhang, Runhua Tan, Cheng-Jian Lin:
Forecasting of e-commerce transaction volume using a hybrid of extreme learning machine and improved moth-flame optimization algorithm. Appl. Intell. 51(2): 952-965 (2021) - [j88]Ming-Hwa Sheu, S. M. Salahuddin Morsalin, Jia-Xiang Zheng, Shih-Chang Hsia, Cheng-Jian Lin, Chuan-Yu Chang:
FGSC: Fuzzy Guided Scale Choice SSD Model for Edge AI Design on Real-Time Vehicle Detection and Class Counting. Sensors 21(21): 7399 (2021) - [c29]Chi-Huang Shih, Cheng-Jian Lin, Ta-Sen Wei, Peng-Ta Liu, Ching-Yu Shih:
Behavior Analysis based on Local Object Tracking and its Bed-exit Application. ICKII 2021: 101-104 - 2020
- [j87]Cheng-Jian Lin, Jyun-Yu Jhang, Shao-Hsien Chen, Kuu-Young Young:
Using an Interval Type-2 Fuzzy Neural Network and Tool Chips for Flank Wear Prediction. IEEE Access 8: 122626-122640 (2020) - [j86]Cheng-Jian Lin, Jyun-Yu Jhang, Kuu-Young Young:
Parameter Selection and Optimization of an Intelligent Ultrasonic-Assisted Grinding System for SiC Ceramics. IEEE Access 8: 195721-195732 (2020) - [c28]Tzu-Chao Lin, Chao-Chun Chen, Cheng-Jian Lin:
Using Interval Type-2 Recurrent Fuzzy Cerebellar Model Articulation Controller Based on Improved Differential Evolution for Cooperative Carrying Controller of Mobile Robots. iFUZZY 2020: 1-3
2010 – 2019
- 2019
- [j85]Cheng-Jian Lin, Mei-Ling Huang:
Efficient hybrid group search optimizer for assembling printed circuit boards. Artif. Intell. Eng. Des. Anal. Manuf. 33(3): 259-274 (2019) - [j84]Chun-Hui Lin, Shyh-Hau Wang, Cheng-Jian Lin:
Using convolutional neural networks for character verification on integrated circuit components of printed circuit boards. Appl. Intell. 49(11): 4022-4032 (2019) - [j83]Jyun-Yu Jhang, Cheng-Jian Lin, Kuu-Young Young, Chin-Teng Lin:
A hybrid of fuzzy theory and quadratic function for estimating and refining transmission map. Turkish J. Electr. Eng. Comput. Sci. 27(5): 3791-3803 (2019) - [j82]Cheng-Jian Lin, Chin-Ling Lee:
Deployment and navigation of multiple robots using a self-clustering method and type-2 fuzzy controller in dynamic environments. J. Intell. Fuzzy Syst. 37(2): 2181-2195 (2019) - [j81]Kuang-Hui Tang, Chuan-Kuei Huang, Cheng-Jian Lin:
Automatic Text Recognition in Natural Scene Using Neural Network Classifier with Dynamic-group-based Hybrid Particle Swarm Optimization. J. Inf. Sci. Eng. 35(3): 555-575 (2019) - 2018
- [j80]Chin-Ling Lee, Cheng-Jian Lin:
An efficient recurrent fuzzy CMAC model based on a dynamic-group-based hybrid evolutionary algorithm for identification and prediction applications. Turkish J. Electr. Eng. Comput. Sci. 26(4): 2003-2015 (2018) - [j79]Tzu-Chao Lin, Chao-Chun Chen, Cheng-Jian Lin:
Wall-following and Navigation Control of Mobile Robot Using Reinforcement Learning Based on Dynamic Group Artificial Bee Colony. J. Intell. Robotic Syst. 92(2): 343-357 (2018) - [j78]Hsueh-Yi Lin, Cheng-Jian Lin, Mei-Ling Huang:
Using a Hybrid of Morphological Operation and Neuro-fuzzy Filter for Transmission Map Refinement and Halation Elimination in Weather Degraded Images. J. Inf. Sci. Eng. 34(3): 701-720 (2018) - [j77]Jyun-Guo Wang, Shen-Chuan Tai, Cheng-Jian Lin:
The application of an interactively recurrent self-evolving fuzzy CMAC classifier on face detection in color images. Neural Comput. Appl. 29(6): 201-213 (2018) - [j76]Chun-Hui Lin, Shyh-Hau Wang, Cheng-Jian Lin:
Interval Type-2 Neural Fuzzy Controller-Based Navigation of Cooperative Load-Carrying Mobile Robots in Unknown Environments. Sensors 18(12): 4181 (2018) - [c27]Ying-Chih Lo, Chia-Feng Juang, I-Fang Chung, Shin-Ning Guo, Man-Ling Huang, Mei-Chin Wen, Cheng-Jian Lin, Hsueh-Yi Lin:
Glomerulus Detection on Light Microscopic Images of Renal Pathology with the Faster R-CNN. ICONIP (7) 2018: 369-377 - 2017
- [j75]Chin-Ling Lee, Shye-Chorng Kuo, Cheng-Jian Lin:
An efficient forecasting model based on an improved fuzzy time series and a modified group search optimizer. Appl. Intell. 46(3): 641-651 (2017) - [j74]Hsueh-Yi Lin, Cheng-Jian Lin:
Using a hybrid of fuzzy theory and neural network filter for single image dehazing. Appl. Intell. 47(4): 1099-1114 (2017) - [j73]Cheng-Jian Lin:
Editorial Message: Special Issue on Fuzzy Theory and Its Applications. Int. J. Fuzzy Syst. 19(6): 1659 (2017) - [j72]Cheng-Yi Yu, Hsueh-Yi Lin, Cheng-Jian Lin:
Fuzzy Theory Using in Image Contrast Enhancement Technology. Int. J. Fuzzy Syst. 19(6): 1750-1758 (2017) - 2016
- [j71]Hsueh-Yi Lin, Cheng-Jian Lin, Mei-Ling Huang:
Optimization of printed circuit board component placement using an efficient hybrid genetic algorithm. Appl. Intell. 45(3): 622-637 (2016) - [c26]Jyun-Guo Wang, Shen-Chuan Tai, Chin-Ling Lee, Cheng-Jian Lin, Tsung-Hung Lin:
Using a hybrid of fuzzy theory and neural network filter for image dehazing applications. IJCNN 2016: 692-697 - 2015
- [j70]Jyun-Guo Wang, Shen-Chuan Tai, Cheng-Jian Lin:
A Novel Interactively Recurrent Self-Evolving Fuzzy CMAC and Its Classification Applications. Int. J. Comput. Intell. Appl. 14(3): 1550019:1-1550019:19 (2015) - [j69]Hsueh-Yi Lin, Chih-Feng Wu, Cheng-Jian Lin, Cheng-Yi Yu:
A Fuzzy Cerebellar Model Articulation Controller Using a Strategy-Adaptation-Based Bacterial Foraging Optimization Algorithm for Classification Applications. Int. J. Fuzzy Syst. 17(2): 303-308 (2015) - [j68]Jyun-Guo Wang, Shen-Chuan Tai, Cheng-Jian Lin:
Image haze removal using a hybrid of fuzzy inference system and weighted estimation. J. Electronic Imaging 24(3): 033027 (2015) - [c25]Wan-Ting Zeng, Chia-Feng Juang, Cheng-Jian Lin:
Wall Following Control of Object-Carrying Robots Using Particle Swarm Optimized FC Through Reinforcement Signals. ICSSE 2015: 335-342 - 2014
- [j67]Cheng-Jian Lin, Chun-Cheng Peng:
An Efficient Evolutionary Neural fuzzy controller for the Inverted Pendulum System. Cybern. Syst. 45(4): 324-348 (2014) - [c24]Jyun-Guo Wang, Shen-Chuan Tai, Cheng-Jian Lin:
Medical diagnosis applications using a novel interactively recurrent self-evolving fuzzy CMAC model. IJCNN 2014: 4092-4098 - 2012
- [j66]Chi-Feng Wu, Cheng-Jian Lin, Chi-Yung Lee:
Applying a Functional Neurofuzzy Network to Real-Time Lane Detection and Front-Vehicle Distance Measurement. IEEE Trans. Syst. Man Cybern. Part C 42(4): 577-589 (2012) - 2011
- [j65]Miin-Tsair Su, Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin:
A Rule-Based Symbiotic MOdified Differential Evolution for Self-Organizing Neuro-Fuzzy Systems. Appl. Soft Comput. 11(8): 4847-4858 (2011) - [j64]Cheng-Jian Lin, Cheng-Hung Chen:
Nonlinear system control using self-evolving neural fuzzy inference networks with reinforcement evolutionary learning. Appl. Soft Comput. 11(8): 5463-5476 (2011) - [j63]Cheng-Jian Lin, Chun-Cheng Peng:
Chord Recognition Using Neural Networks Based on Particle Swarm Optimization. Cybern. Syst. 42(4): 264-282 (2011) - [j62]Cheng-Jian Lin, Chi-Yung Lee:
Implementation of a neuro-fuzzy network with on-chip learning and its applications. Expert Syst. Appl. 38(1): 673-681 (2011) - [j61]Shye-Chorng Kuo, Cheng-Jian Lin, Jan-Ray Liao:
3D reconstruction and face recognition using kernel-based ICA and neural networks. Expert Syst. Appl. 38(5): 5406-5415 (2011) - [j60]Chi-Feng Wu, Cheng-Jian Lin, Chi-Yung Lee:
A functional neural fuzzy network for classification applications. Expert Syst. Appl. 38(5): 6202-6208 (2011) - [j59]Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin:
An efficient evolutionary algorithm for fuzzy inference systems. Evol. Syst. 2(2): 83-99 (2011) - [j58]Cheng-Jian Lin, Chun-Cheng Peng, Chi-Yung Lee:
Identification and Prediction Using Neuro-Fuzzy Networks with Symbiotic Adaptive Particle Swarm Optimization. Informatica (Slovenia) 35(1): 113-122 (2011) - [c23]Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin:
An immune symbiotic evolution learning for compensatory neural fuzzy networks and its applications. FUZZ-IEEE 2011: 2819-2826 - [c22]Cheng-Jian Lin, Chin-Ling Lee, Chun-Cheng Peng:
A self-organizing neural network using hierarchical particle swarm optimization. IJCNN 2011: 817-820 - [c21]Cheng-Jian Lin, Chin-Ling Lee, Chun-Cheng Peng:
Chord recognition using neural networks based on Particle Swarm Optimization. IJCNN 2011: 821-827 - 2010
- [j57]Jyun-Guo Wang, Cheng-Jian Lin, Shyi-Ming Chen:
Applying fuzzy method to vision-based lane detection and departure warning system. Expert Syst. Appl. 37(1): 113-126 (2010) - [j56]Cheng-Jian Lin, Chi-Yung Lee:
Non-linear system control using a recurrent fuzzy neural network based on improved particle swarm optimisation. Int. J. Syst. Sci. 41(4): 381-395 (2010) - [c20]Shih-Chieh Su, Cheng-Jian Lin, Chuan-Kang Ting:
An efficient hybrid of hill-climbing and genetic algorithm for 2D triangular protein structure prediction. BIBM Workshops 2010: 51-56 - [c19]Cheng-Jian Lin, Jyun-Guo Wang, Shyi-Ming Chen, Chi-Yung Lee:
Design of a lane detection and departure warning system using functional-link-based neuro-fuzzy networks. FUZZ-IEEE 2010: 1-7 - [c18]Cheng-Jian Lin, Chia-Hu Hsu, Siao-Yin Wu, Chun-Cheng Peng:
An efficient Symbiotic Taguchi-based Differential Evolution for neuro-fuzzy network design. IWACI 2010: 179-184
2000 – 2009
- 2009
- [j55]Cheng-Jian Lin:
Nonlinear systems control using self-constructing wavelet networks. Appl. Soft Comput. 9(1): 71-79 (2009) - [j54]Cheng-Jian Lin, Chi-Yung Lee:
A novel parametric fuzzy CMAC network and its applications. Appl. Soft Comput. 9(2): 775-785 (2009) - [j53]Cheng-Jian Lin, Yong-Cheng Liu:
Image backlight compensation using neuro-fuzzy networks with immune particle swarm optimization. Expert Syst. Appl. 36(3): 5212-5220 (2009) - [j52]Cheng-Jian Lin, Jun-Guo Wang, Chi-Yung Lee:
Pattern recognition using neural-fuzzy networks based on improved particle swam optimization. Expert Syst. Appl. 36(3): 5402-5410 (2009) - [j51]Cheng-Jian Lin, Ming-Hua Hsieh:
An efficient hybrid Taguchi-genetic algorithm for protein folding simulation. Expert Syst. Appl. 36(10): 12446-12453 (2009) - [j50]Cheng-Jian Lin, Ming-Hua Hsieh:
Classification of mental task from EEG data using neural networks based on particle swarm optimization. Neurocomputing 72(4-6): 1121-1130 (2009) - [j49]Cheng-Jian Lin, Chi-Yung Lee:
FPGA Implementation of a Recurrent Neural Fuzzy Network wiht On-Chip Learning for Prediction and Identification Applications. J. Inf. Sci. Eng. 25(2): 575-589 (2009) - [j48]Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin:
Using an Efficient Immune Symbiotic Evolution Learning for Compensatory Neuro-Fuzzy Controller. IEEE Trans. Fuzzy Syst. 17(3): 668-682 (2009) - [j47]Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin:
A Hybrid of Cooperative Particle Swarm Optimization and Cultural Algorithm for Neural Fuzzy Networks and Its Prediction Applications. IEEE Trans. Syst. Man Cybern. Part C 39(1): 55-68 (2009) - [j46]Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin:
Nonlinear System Control Using Adaptive Neural Fuzzy Networks Based on a Modified Differential Evolution. IEEE Trans. Syst. Man Cybern. Part C 39(4): 459-473 (2009) - 2008
- [j45]Cheng-Jian Lin, Jia-Hong Lee, Chi-Yung Lee:
A novel hybrid learning algorithm for parametric fuzzy CMAC networks and its classification applications. Expert Syst. Appl. 35(4): 1711-1720 (2008) - [j44]Cheng-Jian Lin:
An efficient immune-based symbiotic particle swarm optimization learning algorithm for TSK-type neuro-fuzzy networks design. Fuzzy Sets Syst. 159(21): 2890-2909 (2008) - [j43]Cheng-Jian Lin, Chi-Yung Lee:
A self-organizing recurrent fuzzy CMAC model for dynamic system identification. Int. J. Intell. Syst. 23(3): 384-396 (2008) - [j42]De-Yu Wang, Cheng-Jian Lin, Chi-Yung Lee:
A new pseudo-Gaussian-based recurrent fuzzy CMAC model for dynamic systems processing. Int. J. Syst. Sci. 39(3): 289-304 (2008) - [j41]Cheng-Jian Lin, Yong-Cheng Liu, Chi-Yung Lee:
Supervised and Reinforcement Evolutionary Learning for Wavelet-based Neuro-fuzzy Networks. J. Intell. Robotic Syst. 52(2): 285-312 (2008) - [j40]Cheng-Jian Lin, Cheng-Hung Chen, Chi-Yung Lee:
Efficient Immune-Based Particle Swarm Optimization Learning for Neuro-Fuzzy Networks Design. J. Inf. Sci. Eng. 24(5): 1505-1520 (2008) - [j39]Cheng-Jian Lin, Hung-Ming Tsai:
FPGA implementation of a wavelet neural network with particle swarm optimization learning. Math. Comput. Model. 47(9-10): 982-996 (2008) - [j38]Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin:
An efficient quantum neuro-fuzzy classifier based on fuzzy entropy and compensatory operation. Soft Comput. 12(6): 567-583 (2008) - [j37]Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin:
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control. IEEE Trans. Fuzzy Syst. 16(5): 1362-1378 (2008) - [j36]Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin:
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems. IEEE Trans. Fuzzy Syst. 16(6): 1476-1490 (2008) - [c17]Cheng-Hung Chen, Yong-Cheng Liu, Cheng-Jian Lin, Chin-Teng Lin:
A hybrid of cooperative particle swarm optimization and cultural algorithm for neural fuzzy networks. FUZZ-IEEE 2008: 238-245 - [c16]Cheng-Jian Lin, Chen-Hsiang Chu, Chi-Yung Lee, Ya-Tzu Huang:
2D/3D Face Recognition Using Neural Networks Based on Hybrid Taguchi-Particle Swarm Optimization. ISDA (2) 2008: 307-312 - 2007
- [j35]Cheng-Jian Lin, Yong-Ji Xu:
A Self-Constructing Neural Fuzzy Network with Dynamic-Form Symbiotic Evolution. Intell. Autom. Soft Comput. 13(2): 123-137 (2007) - [j34]Chi-Yung Lee, Cheng-Jian Lin:
A Wavelet-Based Neuro-Fuzzy System and its Applications. Intell. Autom. Soft Comput. 13(4): 385-403 (2007) - [j33]Cheng-Jian Lin, I-Fang Chung, Cheng-Hung Chen:
An entropy-based quantum neuro-fuzzy inference system for classification applications. Neurocomputing 70(13-15): 2502-2516 (2007) - [j32]Cheng-Jian Lin, Shang-Jin Hong:
The design of neuro-fuzzy networks using particle swarm optimization and recursive singular value decomposition. Neurocomputing 71(1-3): 297-310 (2007) - [j31]Chi-Yung Lee, Cheng-Jian Lin, Huei-Jen Chen:
A self-constructing fuzzy CMAC model and its applications. Inf. Sci. 177(1): 264-280 (2007) - [j30]Cheng-Jian Lin, Chi-Yung Lee, Cheng-Hung Chen:
A Novel Neuro-Fuzzy Inference System with Multi-Level Membership Function for Classification Applications. J. Adv. Comput. Intell. Intell. Informatics 11(4): 365-372 (2007) - [j29]Cheng-Jian Lin, Yong-Ji Xu:
Design of Neuro-Fuzzy Systems Using a Hybrid Evolutionary Learning Algorithm. J. Inf. Sci. Eng. 23(2): 463-477 (2007) - [j28]Chi-Yung Lee, Cheng-Jian Lin:
Multiple Compensatory Neural Fuzzy Networks Fusion Using Fuzzy Integral. J. Inf. Sci. Eng. 23(3): 839-853 (2007) - [j27]Chi-Yung Lee, Cheng-Jian Lin, Yung-Chi Hsu:
A Parametric Fuzzy CMAC Model with Hybrid Evolutionary Learning Algorithms. J. Multiple Valued Log. Soft Comput. 13(1-2): 89-114 (2007) - [j26]Cheng-Jian Lin, Yung-Chi Hsu:
Reinforcement Hybrid Evolutionary Learning for Recurrent Wavelet-Based Neurofuzzy Systems. IEEE Trans. Fuzzy Syst. 15(4): 729-745 (2007) - [c15]Cheng-Hung Chen, Chin-Teng Lin, Cheng-Jian Lin:
A Functional-Link-Based Fuzzy Neural Network for Temperature Control. FOCI 2007: 53-58 - [c14]Cheng-Hung Chen, Cheng-Jian Lin, Chi-Yung Lee:
Efficient Reinforcement Hybrid Evolutionary Learning for Recurrent Wavelet-Based Neuro-fuzzy Systems. IEA/AIE 2007: 207-216 - [c13]Chin-Ling Lee, Chih-Hui Huang, Cheng-Jian Lin:
Test-Sheet Composition Using Immune Algorithm for E-Learning Application. IEA/AIE 2007: 823-833 - 2006
- [j25]Cheng-Jian Lin, Cheng-Hung Chen:
A Self-organizing Quantum Neural Fuzzy Network and its Applications. Cybern. Syst. 37(8): 839-859 (2006) - [j24]Cheng-Jian Lin, Cheng-Hung Chen:
A compensation-based recurrent fuzzy neural network for dynamic system identification. Eur. J. Oper. Res. 172(2): 696-715 (2006) - [j23]Cheng-Jian Lin, Yong-Ji Xu:
A self-adaptive neural fuzzy network with group-based symbiotic evolution and its prediction applications. Fuzzy Sets Syst. 157(8): 1036-1056 (2006) - [j22]Cheng-Jian Lin, Yong-Ji Xu:
A novel genetic reinforcement learning for nonlinear fuzzy control problems. Neurocomputing 69(16-18): 2078-2089 (2006) - [j21]Cheng-Jian Lin, Chi-Yung Lee, Cheng-Chung Chin:
Temperature control using neuro-fuzzy controllers with compensatory operations and wavelet neural networks. J. Intell. Fuzzy Syst. 17(2): 145-157 (2006) - [j20]Cheng-Jian Lin:
Wavelet Neural Networks with a Hybrid Learning Approach. J. Inf. Sci. Eng. 22(6): 1367-1387 (2006) - [j19]Cheng-Jian Lin, Yong-Ji Xu:
A hybrid evolutionary learning algorithm for TSK-type fuzzy model design. Math. Comput. Model. 43(5-6): 563-581 (2006) - [j18]Cheng-Jian Lin, Yong-Ji Xu:
A novel evolution learning for recurrent wavelet-based neuro-fuzzy networks. Soft Comput. 10(3): 193-205 (2006) - [c12]Cheng-Jian Lin, Tzu-Chao Lin, Chin-Ling Lee:
An Asymmetry Subsethood-Based Neural Fuzzy Network. IJCNN 2006: 2852-2858 - [c11]Cheng-Jian Lin, Shang-Jin Hong, Chi-Yung Lee:
The Design of Neuro-Fuzzy Networks Using Particle Swarm Optimization and Recursive Singular Value Decomposition. IJCNN 2006: 2887-2893 - 2005
- [j17]Cheng-Jian Lin, Cheng-Hung Chen:
Identification and prediction using recurrent compensatory neuro-fuzzy systems. Fuzzy Sets Syst. 150(2): 307-330 (2005) - [j16]Cheng-Jian Lin, Wen-Hao Ho:
An asymmetry-similarity-measure-based neural fuzzy inference system. Fuzzy Sets Syst. 152(3): 535-551 (2005) - [j15]Cheng-Jian Lin, Yong-Ji Xu:
Efficient reinforcement learning through dynamic symbiotic evolution for TSK-type fuzzy controller design. Int. J. Gen. Syst. 34(5): 559-578 (2005) - [j14]Cheng-Jian Lin, Cheng-Chung Chin:
Recurrent wavelet-based neuro fuzzy networks for dynamic system identification. Math. Comput. Model. 41(2-3): 226-239 (2005) - [j13]Cheng-Jian Lin, Cheng-Hung Chen:
A self-constructing compensatory neural fuzzy system and its applications. Math. Comput. Model. 42(3-4): 339-351 (2005) - [c10]De-Yu Wang, Ho-Chin Chuang, Yong-Ji Xu, Cheng-Jian Lin:
A novel evolution learning for recurrent wavelet-based neuro-fuzzy networks. FUZZ-IEEE 2005: 1092-1097 - [c9]Cheng-Jian Lin, Yong-Ji Xu, Chi-Yung Lee:
An Efficient Genetic Algorithm for TSK-Type Neural Fuzzy Identifier Design. IEA/AIE 2005: 551-553 - [c8]Poyueh Chen, Hungming Tsai, Cheng-Jian Lin, ChiYung Lee:
FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer. ISNN (3) 2005: 320-325 - [c7]ChiYung Lee, Cheng-Jian Lin:
Prediction of Time Sequence Using Recurrent Compensatory Neuro-fuzzy Systems. ISNN (2) 2005: 611-617 - [c6]Cheng-Jian Lin, Chih-Hui Huang, Yong-Ji Xu, Chin-Ling Lee:
A Self-Constructing Neural Fuzzy Network with Dynamic-Form Symbiotic Evolution. MLMTA 2005: 184-189 - 2004
- [j12]Cheng-Jian Lin:
A GA-based neural fuzzy system for temperature control. Fuzzy Sets Syst. 143(2): 311-333 (2004) - [j11]Cheng-Jian Lin:
Time-series prediction using adaptive neuro-fuzzy networks. Int. J. Syst. Sci. 35(5): 273-286 (2004) - [j10]Cheng-Jian Lin, Cheng-Chung Chin:
Prediction and identification using wavelet-based recurrent fuzzy neural networks. IEEE Trans. Syst. Man Cybern. Part B 34(5): 2144-2154 (2004) - [c5]Cheng-Jian Lin, Huei-Jen Chen, Chi-Yung Lee:
A self-organizing recurrent fuzzy CMAC model for dynamic system identification. FUZZ-IEEE 2004: 697-702 - [c4]Cheng-Jian Lin, Chuan-Chan Shih, Po-Yuch Chen:
A nonlinear time-varying channel equalizer using self-organizing wavelet neural networks. IJCNN 2004: 2089-2094 - [c3]Cheng-Jian Lin, Cheng-Hung Chen, Chi-Yung Lee:
A self-adaptive quantum radial basis function network for classification applications. IJCNN 2004: 3263-3268 - 2003
- [j9]Cheng-Jian Lin, Cheng-Hung Chen:
Nonlinear System Control Using Compensatory Neuro-Fuzzy Networks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 86-A(9): 2309-2316 (2003) - [c2]Cheng-Jian Lin, Wen-Hao Ho:
A pseudo-Gaussian-based compensatory neural fuzzy system. FUZZ-IEEE 2003: 214-219 - [c1]Cheng-Jian Lin, Cheng-Chung Chin, Cheng-Ling Lee:
A wavelet-based neuro-fuzzy system and its applications. IJCNN 2003: 1921-1926 - 2000
- [j8]I-Fang Chung, Cheng-Jian Lin, Chin-Teng Lin:
A GA-based fuzzy adaptive learning control network. Fuzzy Sets Syst. 112(1): 65-84 (2000)
1990 – 1999
- 1998
- [j7]Chin-Teng Lin, Chong-Ping Jou, Cheng-Jian Lin:
Ga-based Reinforcement Learning for Neural Networks. Int. J. Syst. Sci. 29(3): 233-247 (1998) - 1997
- [j6]Cheng-Jian Lin:
SISO Nonlinear System Identification Using a Fuzzy-Neural Hybrid System. Int. J. Neural Syst. 8(3): 325-337 (1997) - [j5]Cheng-Jian Lin, Chin-Teng Lin:
An ART-based fuzzy adaptive learning control network. IEEE Trans. Fuzzy Syst. 5(4): 477-496 (1997) - 1996
- [j4]Cheng-Jian Lin:
A Fuzzy Adaptive Learning Control Network with On-Line Structure and Parameter Learning. Int. J. Neural Syst. 7(5): 569-590 (1996) - [j3]Cheng-Jian Lin, Chin-Teng Lin:
Reinforcement learning for an ART-based fuzzy adaptive learning control network. IEEE Trans. Neural Networks 7(3): 709-731 (1996) - [j2]Cheng-Jian Lin, Chin-Teng Lin:
Corrections to "Reinforcement Learning for an ART-Based Fuzzy Adaptive Learning Control Network". IEEE Trans. Neural Networks 7(5): 1315 (1996) - 1995
- [j1]Cheng-Jian Lin, Chin-Teng Lin:
Adaptive fuzzy control of unstable nonlinear systems. Int. J. Neural Syst. 6(3): 283-298 (1995)
Coauthor Index
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2025-04-03 00:22 CEST by the dblp team
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