Prediction of Soil Composition from CPT Data using General Regression Neural Network

By P. Kurup, E. P. Griffin. 2006

106 citations recorded by the source corpus.

Subfields: Management, Monitoring, Policy and Law, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/ab3e518c0a2d2c5b7aa4c31e3074ea17b2d88121

How researchers see this paper

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

In Management, Monitoring, Policy and Law

1. Dianqing Li
2. Z. Cao
3. Kok-Kwang Phoon

In Mechanics of Materials

1. Kok-Kwang Phoon
2. Dianqing Li

In Ocean Engineering

1. Kok-Kwang Phoon
2. Dianqing Li
3. Z. Cao

Citations in the corpus

• Bayesian identification of soil stratigraphy based on soil behaviour type index (2019, background): “This indicates that the soil stratigraphy inferred from site investigation data relies on soil classification systems (e.g., SBTs and USCS) adopted to determine the soil type profile.”