A Critical Review on Artificial Intelligence on Earthquake Probability Assessment

Jena, R; Pradhan, B

A Critical Review on Artificial Intelligence on Earthquake Probability Assessment

Jena, R

Pradhan, B

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Publisher:: IJMIR
Publication Type:: Chapter
Citation:: Scenario of environmental research and development, 2018, 1 pp. 1 - 11 (11)
Issue Date:: 2018

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Field	Value	Language
dc.contributor.author	Jena, R https://orcid.org/0000-0002-6180-4673	en_US
dc.contributor.author	Pradhan, B	en_US
dc.date.issued	2018	en_US
dc.identifier.citation	Scenario of environmental research and development, 2018, 1 pp. 1 - 11 (11)	en_US
dc.identifier.isbn	978-93-5346-498-1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133680
dc.description.abstract	The application of neural network and hybrid methods of GIS with artificial intelligence is growing exponentially in a huge scale worldwide. To execute a detail description among all the different approaches of artificial intelligence, we need a map of the completely emerging architecture of the principles and applications. In this review, we have critically analysed and discussed various artificial intelligence models to understand their significance in earthquake probability assessment. The review characterised by two important aspects of the AI approaches. Firstly, we have discussed several artificial intelligence models and secondly, analysed their importance in the field of seismology. The review provide a better understanding about the various artificial intelligence techniques that will help the researchers and scientist to apply in a proper scientific way.	en_US
dc.publisher	IJMIR	en_US
dc.relation.ispartof	Scenario of environmental research and development	en_US
dc.title	A Critical Review on Artificial Intelligence on Earthquake Probability Assessment	en_US
dc.type	Chapter
utslib.citation.volume	1	en_US
utslib.location	India	en_US
utslib.for	0909 Geomatic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	India	en_US
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

The application of neural network and hybrid methods of GIS with artificial intelligence is growing exponentially in a huge scale worldwide. To execute a detail description among all the different approaches of artificial intelligence, we need a map of the completely emerging architecture of the principles and applications. In this review, we have critically analysed and discussed various artificial intelligence models to understand their significance in earthquake probability assessment. The review characterised by two important aspects of the AI approaches. Firstly, we have discussed several artificial intelligence models and secondly, analysed their importance in the field of seismology. The review provide a better understanding about the various artificial intelligence techniques that will help the researchers and scientist to apply in a proper scientific way.

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http://hdl.handle.net/10453/133680