A Particle Swarm Optimization-Backpropagation (PSO-BP) Model for the Prediction of Earthquake in Japan
- Title
- A Particle Swarm Optimization-Backpropagation (PSO-BP) Model for the Prediction of Earthquake in Japan
- Creator
- Abraham A.; Rohini V.
- Description
- Japan is a country that suffers a lot of earthquakes and disasters because it lies across four major tectonic plates. Subduction zones at the Japanese island curves are geologically complex and create various earthquakes from various sources. Earthquake prediction helps in evacuating areas, which are suspected and could save the lives of people. Artificial neural network is a computing model inspired by biological neurons, which learn from examples and can be able to do predictions. In this paper, we present an artificial neural network with PSO-BP model for the prediction of an earthquake in Japan. In PSO-BP model, particle swarm optimization method is used to optimize the input parameters of backpropagation neural network. Information regarding all major, minor and aftershock earthquake is taken into account for the input of backpropagation neural network. These parameters are taken from Japan seismic catalogue provided by USGS (United States Geological Survey) such as latitude, longitude, magnitude, depth, etc., of earthquake. 2019, Springer Nature Singapore Pte Ltd.
- Source
- Advances in Intelligent Systems and Computing, Vol-882, pp. 435-441.
- Date
- 2019-01-01
- Publisher
- Springer Verlag
- Subject
- Artificial neural network; Backpropagation; Particle swarm optimization; Seismic catalogue; Tectonic plates
- Coverage
- Abraham A., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Rohini V., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, 560029, India
- Rights
- Restricted Access
- Relation
- ISSN: 21945357; ISBN: 978-981135952-1
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Abraham A.; Rohini V., “A Particle Swarm Optimization-Backpropagation (PSO-BP) Model for the Prediction of Earthquake in Japan,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20855.