E3S Web Conf.
Volume 248, 20212021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|Number of page(s)||4|
|Section||Research on Civil Water Conservancy Engineering and Urban Architecture|
|Published online||12 April 2021|
Research on Settlement Prediction of Small Water Conservancy Project based on ELM Model Optimized by Genetic Algorithm
Management Science and Engineering, School of management, Tianjin University of Technology, China
* Corresponding author: firstname.lastname@example.org
To find suitable for small water conservancy engineering standard method for prediction of subsidence. This paper based on the genetic algorithm GA optimization extreme learning machine, three different ELM model activation function. From this, six computational models are obtained. According to the input of groundwater dynamic changes, precipitation, temperature and soil four indicators of the two kinds of input combinations, a total of 12 kinds of model input. It’s concluded that the optimal settlement prediction model, the results showed that: Ga-ELMsin model shows high accuracy, and genetic algorithm can improve the calculation accuracy of ELM model. Groundwater dynamics is the main factor affecting settlement.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.