Zobrazeno 1 - 10
of 156
pro vyhledávání: '"Geok See Ng"'
Publikováno v:
ASEAN Journal on Science and Technology for Development, Vol 20, Iss 3&4, Pp 307-322 (2017)
In this paper, entropy term is used in the learning phase of a neural network. As learning progresses, more hidden nodes get into saturation. The early creation of such hidden nodes may impair generalisation. Hence entropy approach is proposed to dam
Externí odkaz:
https://doaj.org/article/48a70a3ce924492ca9647f42160301db
Interpretabilty is one of the desired characteristics in various classification task. Rule-based system and fuzzy logic can be used for interpretation in classification. The main drawback of rule-based system is that it may contain large complex rule
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adcdbc48d79926e08458e7de0d670ceb
https://hdl.handle.net/10037/26897
https://hdl.handle.net/10037/26897
Publikováno v:
Robotics and Autonomous Systems. 98:174-191
Several methods have been proposed by researchers to detect cyber attacks in Cyber–Physical Systems (CPSs). This paper proposes a comprehensive approach for conducting experiments to assess the effectiveness of such methods in the context of a robo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f1ae6b5c48e6072d65fedb558696e46
https://doi.org/10.1016/j.robot.2017.09.018
https://doi.org/10.1016/j.robot.2017.09.018
Publikováno v:
ASEAN Journal on Science and Technology for Development, Vol 20, Iss 3&4, Pp 307-322 (2017)
In this paper, entropy term is used in the learning phase of a neural network. As learning progresses, more hidden nodes get into saturation. The early creation of such hidden nodes may impair generalisation. Hence entropy approach is proposed to dam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52990bdc3869bcacd5896f132f94fb34
http://www.ajstd.org/index.php/ajstd/article/view/362
http://www.ajstd.org/index.php/ajstd/article/view/362
Autor:
Chunyan Miao, Xiaolin Qian, Chai Quek, Ah-Hwee Tan, Geok See Ng, Xiaofeng Zhang, Di Wang, You Zhou
Due to their aptitude in both accurate data processing and human comprehensible reasoning, neural fuzzy inference systems have been widely adopted in various application domains as decision support systems. Especially in real-world scenarios such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df8df3fd5e1b86125d845faebcaec634
https://hdl.handle.net/10356/80561
https://hdl.handle.net/10356/80561
Publikováno v:
PRDC
Effectiveness of seven methods for detecting stealthy attacks on Cyber Physical Systems (CPS) was investigated using an experimental study. The Amigobot robot was used as the CPS. The experiments were conducted in simulation as well as on the physica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46d8b0b43e339e9bbab5e4989f46945a
https://doi.org/10.1109/prdc.2017.47
https://doi.org/10.1109/prdc.2017.47
Publikováno v:
SPAC
Neural Fuzzy Inference System (NFIS) is a widely adopted paradigm to develop a data-driven learning system. This hybrid system has been widely adopted due to its accurate reasoning procedure and comprehensible inference rules. Although most NFISs pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0dfe014474d53acb96fc16fa26295c5
http://hdl.handle.net/10220/47060
http://hdl.handle.net/10220/47060
Publikováno v:
2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC).
An experiment was conducted to investigate the response of a robot to cyber attacks and the effectiveness of methods to detect such attacks. The experiment was run in simulation as well as on an actual robot. To ensure validity of results, cyber atta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a10ddb4a3a3134c0d20970508f15832a
https://doi.org/10.1109/compsac.2016.107
https://doi.org/10.1109/compsac.2016.107
Publikováno v:
HASE
An experiment was conducted using a robot to investigate the effectiveness of four methods for detecting cyber attacks and analyzing robot failures. Cyber attacks were implemented on three robots of the same make and model through their wireless cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ae2406b9e90093f21468b72d6843fe6
https://doi.org/10.1109/hase.2016.19
https://doi.org/10.1109/hase.2016.19
Bank failure prediction is an important study for regulators in the banking industry because the failure of a bank leads to devastating consequences. If bank failures are correctly predicted, early warnings can be sent to the responsible authorities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0b80dde99a18926c5a6a6a39d3dd564
https://hdl.handle.net/10356/89642
https://hdl.handle.net/10356/89642