Research on Risk Assessment of City Natural Disaster Based on Neural Network

DOI

10.2991/cmes-15.2015.145How to use a DOI?

Keywords

Geological disaster; Disaster prevention and mitigation; Neural network; Risk assessment

Abstract

Aiming at the selection of fuzzy AHP and fuzzy DH methods in the previous studies, this paper evaluate the qualitative index system using expert questionnaire, the self-learning BP neural network model to construct the index of system, and complete the establishment of model, in order to avoid the serious subjectivity, and using statistical and measurement methods test the reliability index, analyze the validity of the evaluation index system and completeness. Finally, the paper validate the practicability of the model.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinyan Wu
PY  - 2015/04
DA  - 2015/04
TI  - Research on Risk Assessment of City Natural Disaster Based on Neural Network
BT  - Proceedings of the 2nd International Conference on Civil, Materials and Environmental Sciences
PB  - Atlantis Press
SP  - 523
EP  - 525
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmes-15.2015.145
DO  - 10.2991/cmes-15.2015.145
ID  - Wu2015/04
ER  -