Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Tay, Leng"'
Autor:
Tay, Leng Phuan
Neural network applications can generally be divided into two categories. The first involves function approximation, where the neural network is trained to perform intelligent interpolation and curve fitting from the training data. The second categor
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307406
Autor:
Zhang, Xuejie, Tay, Leng Phuan ⁎
Publikováno v:
In Image and Vision Computing 2011 29(1):64-77
Autor:
Lee, Ann Siew-Gek, Tang, Lynn Lay-Hoon, Lim, Irene Hua-Khim, Ling, Moi-Lin, Tay, Leng, Wong, Sin-Yew, Musser, James M.
Publikováno v:
The Journal of Infectious Diseases, 1997 Oct 01. 176(4), 1125-1127.
Externí odkaz:
https://www.jstor.org/stable/30107611
Autor:
Zhang, Xuejie1 (AUTHOR), Tay, Leng Phuan1 (AUTHOR) aslptay@ntu.edu.sg
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. Jun2011, Vol. 23 Issue 2, p201-222. 22p. 7 Black and White Photographs, 4 Diagrams, 4 Charts, 2 Graphs.
Publikováno v:
ICITA (1)
The intelligent turret assembly system (ITAS) is an agile assembly system that allows for a variety of configurations through modular units. This configurability makes it difficult to determine the optimum tool placement configuration. Experiment sug
Publikováno v:
ICARCV
The intelligent turret assembly system (itas) was designed to provide a reconfigurable assembly system with a small footprint using modular units that can be fitted with a variety of tools. Due to the many possible tool placements, genetic algorithm
Autor:
Yin Xiang, Alex Tay Leng Phuan
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540240594
Australian Conference on Artificial Intelligence
Australian Conference on Artificial Intelligence
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, μ In previous papers, it was shown that the KFLANN was capable of fast and accurate assimila
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4bf3f983f1555cd5afe8135ae7ed7ed
https://doi.org/10.1007/978-3-540-30549-1_71
https://doi.org/10.1007/978-3-540-30549-1_71
Autor:
Tay, Leng Phuan.
This thesis investigates some methodologies for the reconstruction of surfaces from stereographically obtained 3D data (The stereographical data was obtained from a separate project which was investigated concurrently). Master of Engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1392::7cbe2cc7755bd292e4a8afaf0e7e74b8
http://hdl.handle.net/10356/19813
http://hdl.handle.net/10356/19813
Publikováno v:
2012 15th International Conference on Information Fusion; 1/ 1/2012, p573-579, 7p
Akademický článek
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