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

نویسندگان

  • Tao Zhong
  • Weibin Guo
  • Dong Wang
  • Yingshan Du
چکیده

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, but it is also lack of flexibility to adjust the model to acquire higher forecasting precision. This paper studies feasibility and effectiveness of a novel Grey model together with the concept of the Bernoulli differential equation in ordinary differential equation. In this research, we name this newly proposed model as Nonlinear Grey Bernoulli Model (NGBM). The NGBM is nonlinear differential equation with power index r. By controlling r, the curvature of the solution curve could be adjusted to fit the result of one time accumulated generating operation of raw data. NGBM is then applied in UPWS forecasting. The results of long terms forecasting prove the novel NGBM is feasible and efficient.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

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

To accurately predict the main economic indices of high technology enterprises in China with nonlinear small sample characteristic, a new method for optimizing Nash nonlinear grey Bernoulli model (Nash NGBM(1,1)) is proposed in this study. Meanwhile, an optimized model is constructed to fully employ the predictive functions of original data information and solve optimum parameters. The process ...

متن کامل

Forecasting Russian renewable, nuclear, and total energy consumption using improved nonlinear grey Bernoulli model

Forecasts of renewable, nuclear, and total primary energy consumption are essential for a green energy system and the understanding of climate change in a rapidly growing market such as Russia. In this paper, nonlinear grey Bernoulli with power j model (NGBM j ) is applied to predict these three different types of energy consumption. A numerical iterative method to optimize the powers of NGBM u...

متن کامل

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...

متن کامل

Brent crude oil Price Forecast with Hybrid Model of Nonlinear Grey Model and Linear Arima Waste Correction

The characteristics of crude oil and the factors affecting the price of this energy carrier have caused its price forecast to always be considered by researchers, oil market activists, governments and policy makers. Since the price of crude oil is affected by many factors, therefore, continuous studies should be done in this way so that the estimates made over time, the results are more accurat...

متن کامل

A Particle Swarm Optimization Based Grey Forecast Model of Underground Pressure for Working Surface

Forecasting of underground pressure for working surface (UPWS) plays an important role in mining technology industry for safety production. The characteristics of UPWS include roof lithologic, mining height of coal seam, geological structure, mining depth, promoting speed of working surface, influence of mining, etc. These factors directly affect the difficulty of forecasting trends in this fie...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011