Prediction Application of MLP Feedforward Neural Network Based on SNNS Neural Network Platform

DOI

10.2991/978-94-6463-200-2_5How to use a DOI?

Keywords

disaster prevention and mitigation; villagers’ natural disaster risk resistance; SNNS; MLP neural network

Abstract

Background: Rural disaster prevention and mitigation publicity behavior plays an important role in villagers’ natural disaster risk resistance, but related research has not been quantitatively studied due to the availability of data. Objective: To study the influence mechanism of rural disaster prevention and mitigation publicity behavior and villagers’ natural disaster risk resistance ability through index quantification. Method: Based on R The studio calls the SNNS neural network platform and uses the MLP feedforward neural network to predict the relationship between the two. Conclusion: Rural disaster prevention and mitigation publicity behavior can effectively promote the improvement of villagers’ natural disaster risk resistance ability.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Fan Hu
PY  - 2023
DA  - 2023/07/26
TI  - Prediction Application of MLP Feedforward Neural Network Based on SNNS Neural Network Platform
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 32
EP  - 36
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_5
DO  - 10.2991/978-94-6463-200-2_5
ID  - Hu2023
ER  -