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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 3, MARCH 2015

Disaster Management Information System Framework using Feed Forward Back Propagation Neural Network

Gopal Datt , Ashutosh Kumar Bhatt , Sunil Kumar

DOI: 10.17148/IJARCCE.2015.43122

Abstract: It is impossible to prevent natural disasters but the applications of recent technologies can be implemented for reducing their effects by developing disaster early warning strategies, preparing and implementing developmental plans to provide resilience to such disasters, and helping in rehabilitation and post disaster reduction. In all cases the circulation of precise, current and reliable information plays a significant role. An integrated approach using scientific and technological advances should be adopted to mitigate and to manage natural hazards using the proper information system for disaster management should be present to tackle the disaster and to manage it. The proposed study is about Uttarakhand (India) which is devastated by natural disaster (cloudburst and flash flood, 15 � 16 June 2013) before a couple of months and it also can be implemented in another provincial. The proposed study aims preparing an efficient disaster management information system for risk prevention and reduction in time to reach in emergency situations using web based interface and feed forward back propagation neural network.



Keywords: FFBPANN, DMIS, ICT, Cloudburst, NDMA.

How to Cite:

[1] Gopal Datt , Ashutosh Kumar Bhatt , Sunil Kumar, “Disaster Management Information System Framework using Feed Forward Back Propagation Neural Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.43122