DEVELOPING AN ARTIFICIAL NEURAL NETWORK MODEL THAT PREDICTS THE FUNDAMENTAL PERIOD OF STEEL STRUCTURES USING A LARGE DATASET

Eccomas Proceedia ID: 10469 / Conference Proceeding ID: 20792 / DOI: 10.7712/120123.10469.20792 / Category: C - MS 12 - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING IN DESIGN AND ASSESSMENT OF STRUCTURES

Authors: Ashley Megan van der Westhuizen, Nikolaos Bakas, George Markou

Start Page: 1206, End Page: 1213, Number of Pages: 8