Prediction of Soil-Water Characteristic Curve Using Genetic Programming

By A. Johari, G. Habibagahi, A. Ghahramani. 2006

188 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/dae952e153c56f9bca3154e25fba8ae5189b73a4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Kwok-Wing Chau
2. Jiayi Shen
3. Chun Kiat Chang
4. Nor Azazi Zakaria
5. Murat Karakus
6. Gürol Yildirim
7. Chaoshui Xu
8. C. S. Leow

In Environmental Engineering

1. Kwok-Wing Chau
2. Lin Qiu
3. Wenchao Wang
4. Chun-tian Cheng
5. Jiayi Shen
6. Murat Karakus
7. Chaoshui Xu
8. Ozgur Kisi

In Soil Science

1. Jiayi Shen
2. Chun Kiat Chang
3. Nor Azazi Zakaria
4. Murat Karakus
5. Gürol Yildirim
6. Chaoshui Xu
7. C. S. Leow
8. Aminuddin Ab. Ghani

Citations in the corpus

• Predicting discharge coefficient of compound broad-crested weir by using genetic programming (GP) and artificial neural network (ANN) techniques (2013, methodology): “Genetic programming, a branch of the genetic algorithm, is a method for learning the most “fit” computer programs by means of artificial evolution (Johari et al. 2006).”
• Gene-Expression Programming for the Development of a Stage-Discharge Curve of the Pahang River (2011, methodology): “Genetic programming (GP), a branch of genetic algorithms (GA) (Holland 1975), is a method for determining the most “fit” computer program by artificial evolution ( Johari et al. 2006 ).”
• A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning (2018, unknown): “In the poromechan-509 ics literature [Johari et al., 2006, Lamorski et al., 2008], the hydro-mechanical path-dependent behavior has been enforced by additional input in a feed-forward neural network or support vector machine.”
• A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series (2009, methodology): “The GP approach was also employed by Johari et al (2006) to predict the soil-water characteristic curve of soils.”
• Direct expressions for linearization of shear strength envelopes given by the Generalized Hoek-Brown criterion using genetic programming (2012, methodology): “The most commonly used form of crossover operation is tree crossover [6].”