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Journal of the Chinese Institute of Engineers Volume 31, 2008 - Issue 1
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Predicting peak pressures from computed CFD data and artificial neural networks algorithm

Cheng‐Hsin Chang Department of Civil Engineering, Tamkang University, Taipei, Taiwan, R.O.C. Phone: 886–2–26215656 ext. 2670 Fax: 886–2–26215656 ext. 2670 E-mail: [email protected]
,
Neng‐Chou Shang Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan 106, R.O.C.
,
Cho‐Sen Wu Department of Civil Engineering, Tamkang University, Taipei, Taiwan, R.O.C.
&
Chern‐Hwa Chen Department of Civil and Environmental Engineering, National University of Kaohsiung, Taiwan, R.O.C.
Pages 95-103 | Received 11 Oct 2006, Accepted 02 Jul 2007, Published online: 04 Mar 2011

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Read on this site (1)

Chi‐Huang Lu & Ching‐Chih Tsai. (2009) Predictive control using recurrent neural networks for industrial processes. Journal of the Chinese Institute of Engineers 32:2, pages 277-283.
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Articles from other publishers (2)

Kun Du & Bo Chen. (2023) A hybrid semi-supervised regression based machine learning method for predicting peak wind loads on a group of buildings. Engineering Structures 275, pages 115245.
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Karim Mostafa, Ioannis Zisis & Mohamed A. Moustafa. (2022) Machine Learning Techniques in Structural Wind Engineering: A State-of-the-Art Review. Applied Sciences 12:10, pages 5232.
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