Abstract
With the continuous development of China’s economy, the influence of financial factors on China’s economy continues to deepen. In recent years, economic development has been more stable, and the average annual growth rate has slowed down. However, the impact of financial factors of China is mostly qualitative analysis, and only few reasonable mathematical models are used in this field. This paper uses BP neural network to establish a nonlinear model of China’s annual economic growth rate and financial factors to analyze the current average annual economic growth rate, which provides effective guidance for China’s future development strategy.
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