An optimized Nash nonlinear grey Bernoulli model for forecasting the main economic indices of high technology enterprises in China

Forecasting Taiwan's major stock indices by the Nash nonlinear grey Bernoulli model

A Novel Nonlinear Grey Bernoulli Forecast Model NGBM(1,1) of Underground Pressure for Working Surface

Forecasting of underground pressure for working surface (UPWS) is very important in mining technology industry for safety production. These factors (roof lithologic, mining height of coal seam, geological structure, etc.) directly affect the difficulty of forecasting trends in this field. The original Grey Model is not hard to understand and very simple to calculate, with satisfactory accuracy,...

Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model

Analyses and forecasts of carbon emissions, energy consumption and real outputs are key requirements for clean energy economy and climate change in rapid growth market such as China. This paper employs the nonlinear grey Bernoulli model (NGBM) to predict these three indicators and proposes a numerical iterative method to optimize the parameter of NGBM. The forecasting ability of NGBM with optim...

Steel Consumption Forecasting Using Nonlinear Pattern Recognition Model Based on Self-Organizing Maps

Steel consumption is a critical factor affecting pricing decisions and a key element to achieve sustainable industrial development. Forecasting future trends of steel consumption based on analysis of nonlinear patterns using artificial intelligence (AI) techniques is the main purpose of this paper. Because there are several features affecting target variable which make the analysis of relations...

Forecasting GDP Growth Using ANN Model with Genetic Algorithm

Applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. Artificial Neural Networks (ANN) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. Most ANN models applied in Economics use the gradient descent method as their learning algorithm. However, t...