NEURAL NETWORK APPLICATIONS IN GEOTECHNICAL ENGINEERING

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GOH A.T.C.

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Journal Paper

Paper Information

Journal: Scientia Iranica Year:2001 | Volume:8 | Issue:1 (CIVIL ENGINEERING) Page(s): 1-9

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Information Journal Paper

Title

NEURAL NETWORK APPLICATIONS IN GEOTECHNICAL ENGINEERING

Author(s)

GOH A.T.C. | Issue Writer Certificate

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Abstract

Geotechnical engineers often encounter complicated multivariate problems that involve a number of interacting factors. Commonly, the relationship between these factors is not precisely known. In addition, the data associated with these parameters are usually incomplete or erroneous (noisy). The extraction of knowledge from the data in order to develop a relationship between these factors is a formidable task requiring sophisticated modeling techniques as well as human intuition and experience. This paper demonstrates the use of neural networks to alleviate this problem. Neural networks have emerged as a powerful computational technique for modeling nonlinear multivariate relationships. This paper provides a brief overview of the basic architecture and concepts of neural networks. followed by a review of current applications of neural networks in geotechnical engineering and a discussion of some potential applications.

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APA: Copy

GOH, A.T.C.. (2001). NEURAL NETWORK APPLICATIONS IN GEOTECHNICAL ENGINEERING. SCIENTIA IRANICA, 8(1 (CIVIL ENGINEERING)), 1-9. SID. https://sid.ir/paper/289688/en

Vancouver: Copy

GOH A.T.C.. NEURAL NETWORK APPLICATIONS IN GEOTECHNICAL ENGINEERING. SCIENTIA IRANICA[Internet]. 2001;8(1 (CIVIL ENGINEERING)):1-9. Available from: https://sid.ir/paper/289688/en

IEEE: Copy

A.T.C. GOH, “NEURAL NETWORK APPLICATIONS IN GEOTECHNICAL ENGINEERING,” SCIENTIA IRANICA, vol. 8, no. 1 (CIVIL ENGINEERING), pp. 1–9, 2001, [Online]. Available: https://sid.ir/paper/289688/en

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