Chin-Ling Lee

According to our database, Chin-Ling Lee authored at least 9 papers between 2005 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Deployment and navigation of multiple robots using a self-clustering method and type-2 fuzzy controller in dynamic environments.

Cheng-Jian Lin, Chin-Ling Lee

J. Intell. Fuzzy Syst., 2019

2018

An efficient recurrent fuzzy CMAC model based on a dynamic-group-based hybrid evolutionary algorithm for identification and prediction applications.

Chin-Ling Lee, Cheng-Jian Lin

Turkish J. Electr. Eng. Comput. Sci., 2018

2017

An efficient forecasting model based on an improved fuzzy time series and a modified group search optimizer.

Chin-Ling Lee, Shye-Chorng Kuo, Cheng-Jian Lin

Appl. Intell., 2017

2016

Using a hybrid of fuzzy theory and neural network filter for image dehazing applications.

Jyun-Guo Wang, Shen-Chuan Tai, Chin-Ling Lee, Cheng-Jian Lin, Tsung-Hung Lin

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2011

Chord recognition using neural networks based on Particle Swarm Optimization.

Cheng-Jian Lin, Chin-Ling Lee, Chun-Cheng Peng

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A self-organizing neural network using hierarchical particle swarm optimization.

Cheng-Jian Lin, Chin-Ling Lee, Chun-Cheng Peng

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2007

Test-Sheet Composition Using Immune Algorithm for E-Learning Application.

Chin-Ling Lee, Chih-Hui Huang, Cheng-Jian Lin

Proceedings of the New Trends in Applied Artificial Intelligence, 2007

2006

An Asymmetry Subsethood-Based Neural Fuzzy Network.

Cheng-Jian Lin, Tzu-Chao Lin, Chin-Ling Lee

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

A Self-Constructing Neural Fuzzy Network with Dynamic-Form Symbiotic Evolution.

Cheng-Jian Lin, Chih-Hui Huang, Yong-Ji Xu, Chin-Ling Lee

Proceedings of The 2005 International Conference on Machine Learning, 2005