Green financial markets and products play an essential role in financial support for high-quality development and the construction of ecological civilization as practical subjects for realizing a green economy. This paper selects Guangdong Province as the research object, and based on a total of 120 data on various indicators of green finance and digital inclusive finance in Guangdong Province from 2011 to 2020, it firstly establishes green finance and digital inclusive finance indicator system, and combines the neural network technology based on multi-layer perceptron (MLP) to build a prediction model of the impact of digital inclusive finance on green finance in Guangdong Province. After the model training and measurement, eight important diagrams of independent variables were finally obtained to illustrate the impact of digital inclusive finance on green finance respectively. This provides a theoretical reference for the government to introduce relevant policies to support the development of digital inclusive finance and green finance.

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