Prediction of green finance development level based on neural network model

In this paper, neural network model is used to predict the development level of green finance, and a green finance system containing multiple evaluation indicators is constructed by collecting and sorting out relevant data. The powerful learning ability of neural network model is used to train and learn these indicators, so as to capture the inherent laws and trends of green finance development. In the process of model construction, the research pays special attention to the design of indicator weights to ensure that the model can accurately reflect the impact of each indicator on the development level of green finance. Through continuous iteration and optimization, a neural network model with high prediction accuracy is finally obtained. After experiments, it is found that this model can provide scientific basis for the formulation and implementation of green finance policies, and help promote the sustainable development of green finance.