![](/images/graphics-bg.png)
Recent Advances and Future Challenges for Artificial Neural Systems in Geotechnical Engineering Applications
Joint Authors
Shahin, Mohamed A.
Maier, Holger R.
Jaksa, Mark B.
Source
Advances in Artificial Neural Systems
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-11-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Artificial neural networks (ANNs) are a form of artificial intelligence that has proved to provide a high level of competency in solving many complex engineering problems that are beyond the computational capability of classical mathematics and traditional procedures.
In particular, ANNs have been applied successfully to almost all aspects of geotechnical engineering problems.
Despite the increasing number and diversity of ANN applications in geotechnical engineering, the contents of reported applications indicate that the progress in ANN development and procedures is marginal and not moving forward since the mid-1990s.
This paper presents a brief overview of ANN applications in geotechnical engineering, briefly provides an overview of the operation of ANN modeling, investigates the current research directions of ANNs in geotechnical engineering, and discusses some ANN modeling issues that need further attention in the future, including model robustness; transparency and knowledge extraction; extrapolation; uncertainty.
American Psychological Association (APA)
Shahin, Mohamed A.& Jaksa, Mark B.& Maier, Holger R.. 2009. Recent Advances and Future Challenges for Artificial Neural Systems in Geotechnical Engineering Applications. Advances in Artificial Neural Systems،Vol. 2009, no. 2009, pp.1-9.
https://search.emarefa.net/detail/BIM-462239
Modern Language Association (MLA)
Shahin, Mohamed A.…[et al.]. Recent Advances and Future Challenges for Artificial Neural Systems in Geotechnical Engineering Applications. Advances in Artificial Neural Systems No. 2009 (2009), pp.1-9.
https://search.emarefa.net/detail/BIM-462239
American Medical Association (AMA)
Shahin, Mohamed A.& Jaksa, Mark B.& Maier, Holger R.. Recent Advances and Future Challenges for Artificial Neural Systems in Geotechnical Engineering Applications. Advances in Artificial Neural Systems. 2009. Vol. 2009, no. 2009, pp.1-9.
https://search.emarefa.net/detail/BIM-462239
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462239