Title: Artificial Intelligence based Levenberg Marquardt approach to solving Tsunami Wave Propagation Model


Authors:

Sumit Gupta

sumit.gupta@skit.ac.in
Department of Mathematics, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Deepika Khandelwal

deepika.khandelwal@skit.ac.in
Department of Mathematics, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA),

Chandra Prakash Jain

chandra.jain@skit.ac.in
Department of Mathematics, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur-302017 (INDIA)

Pages: 88-91

DOI:

Abstract:

This manuscript deals with the Earth’s most impulsive and perilous natural disaster well known as Tsunami mathematical model. Tsunami propogate with an utmost speed and have incredible energy. The governing equations are of partial differential which are further handled by the Maching learning based Back Propagation method, known as Levenberg-Marquardt approach.  Here we generate 1000 data points. The 70% of data are used for training, 15% for testing and 15% for validating. The plot of mean squre error (MSE) between the exact solution and ANN are discussed through graphs.

 

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