Machine Learning and Big Data (TC309)

Machine Learning and Big Data (TC309)

Members 50
Technical Committee

Description

TC Chair: Zhongqiang Liu

Disseminate knowledge and practice within the TC’s subject area to the membership of the ISSMGE:
TC309 aims to provide a forum for all interested members of ISSMGE to explore the use of machine learning (ML) techniques to solve problems relevant to soil mechanics and geotechnical engineering. To disseminate and develop knowledge and practice within the area of ML in geotechnical engineering, TC309 will deal with the following important technical issues:

The development of accurate, robust and efficient predictive tools based on ML methods, such as Support Vector Machine (SVM), Deep Learning (DL), Reinforcement Learning (RL) and Case-based Reasoning (CBR).
The development of webinars for global training use;
Producing a widely distributed newsletter for general dissemination and communication on ML;
The organization of symposia and workshops with the aim to promote cooperation and exchange of information concerning research and developments in using ML in geotechnical practice;
Advancing the collaboration between ML techniques and complicated geotechnical problems by showing the advantages of popular and more advanced ML methods, and by demonstrating the efficiency of these techniques applied to geotechnical engineering via organizing prediction events.

Contact Information

Norway

Discussion Topic
Title Posted Description Replies Latest Reply
ISFOG2020 Data science prediction event 01/06/2019 09:51 In the run-up to the ISFOG 2020 conference (www.isfog2020.org), I'm pleased to announce a community-driven predictio… 0 N/A
Greetings to all members of the ISSGME TC309 18/02/2019 13:35 Hi everybody, I am happy to be member this year 2019 of this TC309 committee. Hope we can all make advances in the ap… 0 N/A

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