This system uses the function of thematic map in Maplnfo to demonstrate data, and uses the GIS technology to realize not only the general consultation function, but also data forecast function, to help decision-making.
A real-time data forecasting model based on modified BP neural network for thermal power plants has been put forward, that means momentum factors and adaptive learning rate have been introduced into standard BP algorithm, so as to reduce the process of convergence oscillation, and to speed up the learning speed.
SARS mathematical model using economic forecasting method is established, and data forecasting trend diagram and unified forecasting formula are established by using 0.618 method, index smooth technique of time series and Winter method being used to process the date lengthways and breadthwise.
Presently the main technologies of macroeconomic data forecasting is some traditional methods such as time series model and multivariate regression model, but the actual result is not so good and satisfying when they are used to deal with the nonlinear and complicated system.
In the data pretreatment section, a data forecasting method, ground on regression analysis, is put forward so as to effectively reduce the error caused by the lagging of the robot's action performance behind the visual sampling.
For German and Swedish data forecasting exercises yield a unique recommendation of unit roots in consumption and income data which is an important (initial) result for multivariate analysis.
Comparison of TSCS regression and neural network models for panel data forecasting: debt policy
The proposed method cannot only enhance the prediction accuracy of the original grey model, but can also solve the jump data forecasting problem something for which the original grey model is inappropriate.
Some results are known as well from panel data forecasting inflation rate.