Zobrazeno 1 - 8
of 8
pro vyhledávání: '"David Gunaratnam"'
Autor:
Helen Wilkins, Donna Wheatley, Christie Johnson Coffin, Lubomir Popov, Peter R. Smith, David Gunaratnam
Publikováno v:
Architectural Science Review. 54:164-170
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9802669e4e46bcf37efa945595573c6d
https://doi.org/10.1080/00038628.2011.582393
https://doi.org/10.1080/00038628.2011.582393
Publikováno v:
Neural Computing and Applications. 19:521-529
In this study, neural network models improved by genetic algorithm were employed to estimate peak ground acceleration (PGA) at seven metropolitan areas in the island of Taiwan, which is frequently subject to earthquakes. By considering a series of hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a2a239734409a36df3a1ae05008ec38
https://doi.org/10.1007/s00521-009-0301-z
https://doi.org/10.1007/s00521-009-0301-z
Autor:
Peter R. Smith, Gevork Hartoonian, Graham Holland, Leon Jacob, Nicolas Ewald, Haico Schepers, David Gunaratnam, W. Y. Chow, Theano Fannie Tosca
Publikováno v:
Architectural Science Review. 52:79-84
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e83d9572c49af39afa82ad9e882fd9a
https://doi.org/10.3763/asre.2009.0008
https://doi.org/10.3763/asre.2009.0008
Publikováno v:
Applied Soft Computing. 2:283-296
The paper presents a technique for generating concise neural network models of physical systems. The neural network models are generated through a two-stage process. The first stage uses information embedded in the dimensions or units in which the da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ca5b2b984474f9be60713a2546f7ec4
https://doi.org/10.1016/s1568-4946(02)00061-3
https://doi.org/10.1016/s1568-4946(02)00061-3
Publikováno v:
AICCSA
In this study, a new weight-based neural network model was developed in accordance with a series of historical seismic records to estimate peak ground acceleration at a total of 33 train stations in the Kaohsiung mass rapid transit system of Taiwan.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce6b7246aed5f129864f91135de8a533
https://doi.org/10.1109/aiccsa.2010.5587031
https://doi.org/10.1109/aiccsa.2010.5587031
Publikováno v:
International Journal of Nonlinear Sciences and Numerical Simulation. 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f107a35c20cd675e598ed999339749c6
https://doi.org/10.1515/ijnsns.2009.10.9.1211
https://doi.org/10.1515/ijnsns.2009.10.9.1211
Publikováno v:
AICCSA
The purpose of this study is to check the suitability of seismic design values in the current Taiwan building code by using the neural network (NN) method. The neural network model input parameters are magnitude, epicenter distance,, and focal depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba67021dcb8a351a1599f176d7a92cbc
https://doi.org/10.1109/aiccsa.2007.370721
https://doi.org/10.1109/aiccsa.2007.370721
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