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Student Learning Hub: Machine learning and Deep learning approaches in bridge degradation modeling and forecasting

November 11 @ 1:00 pm - 2:00 pm

This course will provide students with a foundational understanding of machine learning models and bridge degradation processes.

  • Instructor: Zhanhang Li, Rutgers University
  • Hands-on exercise: Yes
  • Level: No prior experience required.
  • Schedule: Wednesday, November 11, 2022, 1:00pm – 2:00pm
  • Description: This course will provide students with a foundational understanding of machine learning models and degradation processes. With the bridge degradation modeling case study, students will learn about different types of neural networks, their strengths, and context of application. Case studies and live demos will be provided using Artificial Neural Network (ANN) (Multilayer Perceptron [MLP]) and Convolutional neural network (CNN) for bridge rebar degradation modeling.

Details

Date:
November 11
Time:
1:00 pm - 2:00 pm
Event Category:
Website:
https://nyu.zoom.us/meeting/register/tJEtdeGvrT4sHNX9YTaN1LWeZfwlr8BRRrfH

Organizer

C2SMART
Phone:
6469973811
Email:
c2smart@nyu.edu
View Organizer Website

Venue

Virtual
6 MetroTech Center
Brooklyn, NY 11201 United States
+ Google Map
Phone:
6469973049