Artificial Neural Network (ANN) based Soil Temperature model of Highly Plastic Clay
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, Jackson State University, Jackson, MS, USA
Funder
Mississippi Department of Transportation
Publisher
Informa UK Limited
Subject
Geotechnical Engineering and Engineering Geology
Link
https://www.tandfonline.com/doi/pdf/10.1080/17486025.2021.1928765
Reference44 articles.
1. Closure to “Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms” by Jan Adamowski and Christina Karapataki
2. Soil temperature at ECMWF: An assessment using ground-based observations
3. Application of two intelligent systems in predicting environmental impacts of quarry blasting
4. Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
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