( en | de | ru )

 

Disambiguation of "Lim, Chee Peng"

Author of the publication

copydeleteadd this publication to your clipboard
Special issue recent advances in soft computing: Theories and applications.

, , and . J. Intell. Fuzzy Syst., 24 (3): 415-416 (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Chee Han Lim

Bevan Cheeseman

Chee Yap

Mandeep Cheema Gall

Muhammad Shahzad Cheema

 

Other publications of authors with the same name

Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models., , , , and . Expert Syst. Appl., 42 (7): 3643-3652 (2015)A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring., , , and . Appl. Soft Comput., (2015)A hybrid intelligent system for medical data classification., and . Expert Syst. Appl., 41 (5): 2239-2249 (2014)On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study., , and . International Journal of Computational Intelligence and Applications, 3 (1): 23-43 (2003)A Q-learning-based multi-agent system for data classification., , , and . Appl. Soft Comput., (2017)Intelligent Machines: An Introduction., , and . Innovations in Intelligent Machines (1), volume 70 of Studies in Computational Intelligence, Springer, (2007)A review of online learning in supervised neural networks., , , and . Neural Comput. Appl., 25 (3-4): 491-509 (2014)Transfer learning using the online Fuzzy Min-Max neural network., and . Neural Comput. Appl., 25 (2): 469-480 (2014)A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator., , , , , and . J. Syst. Control. Eng., 232 (8): 1025-1038 (2018)An Enhanced Fuzzy Min-Max Neural Network for Pattern Classification., and . IEEE Trans. Neural Networks Learn. Syst., 26 (3): 417-429 (2015)