Prediction of foundation or subgrade settlement is very important during engineering construction. According to the fact that there are lots of settlement-time sequences with a nonhomogeneous index trend, a novel grey forecasting model called NGM (1,1,k,c) model is proposed in this paper. With an optimized whitenization differential equation, the proposed NGM (1,1,k,c) model has the property of white exponential law coincidence and can predict a pure nonhomogeneous index sequence precisely. We used two case studies to verify the predictive effect of NGM (1,1,k,c) model for settlement prediction. The results show that this model can achieve excellent prediction accuracy; thus, the model is quite suitable for simulation and prediction of appr...
AbstractAlthough the grey forecasting models have been successfully utilized in many fields and demo...
Due to the limitation in the prediction of the foundation pit settlement, this paper proposed a new ...
Grey forecasting theory is an approach to build a prediction model with limited data to produce bett...
Grey prediction technique is a useful tool for few data analysis and short term forecasting. GM(2,1)...
It is of vital significance to accurately forecast the settlement of high fill subgrade, which is th...
According to the new information priority principle of grey system, this paper tries to optimize the...
This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-E...
The purpose of this paper is to explore modeling mechanism of a nonhomogeneous multivariable grey pr...
This paper presents a novel multi-variable grey self-memory coupling prediction model (SMGM(1,m)) fo...
In order to ensure safe and sustainable design of geosynthetic-reinforced soil foundation (GRSF), se...
A novel nonhomogeneous multivariable grey forecasting model termed NHMGM(1,m,kp,c) is proposed in th...
In recent years, the nonhomogeneous grey model has received much attention owing to its flexibility ...
Prediction of soft soil sub-grades settlement has been a big challenge for geotechnical engineers th...
The Richards equation has high plasticity and compatibility. Compared with other curve equations, it...
To find suitable for small water conservancy engineering standard method for prediction of subsidenc...
AbstractAlthough the grey forecasting models have been successfully utilized in many fields and demo...
Due to the limitation in the prediction of the foundation pit settlement, this paper proposed a new ...
Grey forecasting theory is an approach to build a prediction model with limited data to produce bett...
Grey prediction technique is a useful tool for few data analysis and short term forecasting. GM(2,1)...
It is of vital significance to accurately forecast the settlement of high fill subgrade, which is th...
According to the new information priority principle of grey system, this paper tries to optimize the...
This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-E...
The purpose of this paper is to explore modeling mechanism of a nonhomogeneous multivariable grey pr...
This paper presents a novel multi-variable grey self-memory coupling prediction model (SMGM(1,m)) fo...
In order to ensure safe and sustainable design of geosynthetic-reinforced soil foundation (GRSF), se...
A novel nonhomogeneous multivariable grey forecasting model termed NHMGM(1,m,kp,c) is proposed in th...
In recent years, the nonhomogeneous grey model has received much attention owing to its flexibility ...
Prediction of soft soil sub-grades settlement has been a big challenge for geotechnical engineers th...
The Richards equation has high plasticity and compatibility. Compared with other curve equations, it...
To find suitable for small water conservancy engineering standard method for prediction of subsidenc...
AbstractAlthough the grey forecasting models have been successfully utilized in many fields and demo...
Due to the limitation in the prediction of the foundation pit settlement, this paper proposed a new ...
Grey forecasting theory is an approach to build a prediction model with limited data to produce bett...