The Local Analysis and Prediction System for Warning of Flash Floods Disaster in Thailand
The Local Analysis and Prediction System for Warning of Flash Floods Disaster in Thailand |
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| © 2023 by IJETT Journal | ||
| Volume-71 Issue-7 |
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| Year of Publication : 2023 | ||
| Author : Tepridht Phratep, Surachai Thongkhaew, Prasong Praneetpolgrang |
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| DOI : 10.14445/22315381/IJETT-V71I7P211 | ||
How to Cite?
Tepridht Phratep, Surachai Thongkhaew, Prasong Praneetpolgrang, "The Local Analysis and Prediction System for Warning of Flash Floods Disaster in Thailand," International Journal of Engineering Trends and Technology, vol. 71, no. 7, pp. 105-116, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I7P211
Abstract
The purposes of this research are 1) to develop a predictive model for alerting against flash floods caused by forest runoff in Thailand using Artificial Intelligence and 2) to present an analysis and prediction system for alerting against flash floods caused by forest runoff in Thailand using Artificial Intelligence. This study developed a model from a dataset of monthly rainfall amounts from 2018-2021 using the Neural Networks Regression algorithm. The statistical analysis found that the highest value was achieved when the Learning Weight was set to 0.1, and the Learning Rate was 0.009, with an accuracy of 99.09%. This research demonstrates the potential for developing predictive models for alerting flash floods caused by forest runoff, using neural networks that can be applied in designing and developing alert systems on various platforms to help alert and reduce losses of life and property of the people.
Keywords
Disaster alert system, Artificial intelligence, Prediction model, Neural network regression.
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