Neural Additive Model Code

Figshare 2026 Dataset Open access

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Authors: Kammula Sai Tulasi, Sreenath Vemula, Ravi Kanth Sriwastav, S. T. G. Raghukanth
DOI: 10.6084/m9.figshare.31155205
Cited by: 0

Abstract

The study develops a Ground Motion Model (GMM) for the Himalayan region to capture the source, path and site characteristics using the Neural Additive Model (NAM) framework.

Fields of Study & Subjects

Seismic Performance and Analysis Seismology and Earthquake Studies Seismic Waves and Analysis

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset