A Study On Regional GDP Forecasting Analysis Based On ... - PubMed

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Abstract

Gross domestic product (GDP) is an important indicator for determining a country's or region's economic status and development level, and it is closely linked to inflation, unemployment, and economic growth rates. These basic indicators can comprehensively and effectively reflect a country's or region's future economic development. The center of radial basis function neural network and smoothing factor to take a uniform distribution of the random radial basis function artificial neural network will be the focus of this study. This stochastic learning method is a useful addition to the existing methods for determining the center and smoothing factors of radial basis function neural networks, and it can also help the network more efficiently train. GDP forecasting is aided by the genetic algorithm radial basis neural network, which allows the government to make timely and effective macrocontrol plans based on the forecast trend of GDP in the region. This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.

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Conflict of interest statement

The authors declare that there are no conflicts of interest.

Figures

Figure 1

Figure 1

Schematic diagram of local minima.

Figure 1

Schematic diagram of local minima.

Figure 1 Schematic diagram of local minima.
Figure 2

Figure 2

Structure of radial basis function…

Figure 2

Structure of radial basis function neural network.

Figure 2 Structure of radial basis function neural network.
Figure 3

Figure 3

Flow chart of the combined…

Figure 3

Flow chart of the combined model prediction.

Figure 3 Flow chart of the combined model prediction.
Figure 4

Figure 4

Flow chart of correlation test.

Figure 4

Flow chart of correlation test.

Figure 4 Flow chart of correlation test.
Figure 5

Figure 5

Economic aggregates projected by RBFNN-GA…

Figure 5

Economic aggregates projected by RBFNN-GA model for the next seven years in Shandong.

Figure 5 Economic aggregates projected by RBFNN-GA model for the next seven years in Shandong.
Figure 6

Figure 6

RBFNN-GA model forecasts the GDP…

Figure 6

RBFNN-GA model forecasts the GDP growth rate in Shandong for the next five…

Figure 6 RBFNN-GA model forecasts the GDP growth rate in Shandong for the next five years.
Figure 7

Figure 7

RBFNN-GA model projected changes in…

Figure 7

RBFNN-GA model projected changes in total energy production in Shandong over the next…

Figure 7 RBFNN-GA model projected changes in total energy production in Shandong over the next five years.
Figure 8

Figure 8

RBFNN-GA model forecasts disposable income…

Figure 8

RBFNN-GA model forecasts disposable income per capita for the next five years in…

Figure 8 RBFNN-GA model forecasts disposable income per capita for the next five years in Shandong.
All figures (8) See this image and copyright information in PMC

References

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