The rapid growth of Internet finance has brought a huge impact on traditional financial institutions, as well as commercial banks. This paper analyzes and discusses the problems in the application of network in financial services and solutions. First, it describes the overview of neural network technology, artificial intelligence and other related theories. Then, it illustrates the relationship between neural network pattern recognition ability and model parameters based on different classification methods through examples. It introduces the use of Matlab software to establish neural network mathematical model and carry out data collection and processing. Finally, through a questionnaire survey, the application of neural network algorithms in Internet financial services was investigated. The survey results showed that online banking was the most widely used neural network algorithms in the Internet financial services industry, accounting for 47%, followed by online lending, accounting for 31%, and third-party payment, accounting for 22%.

Zhaoyang Wu. Neural Network in Internet Financial Services. International Journal of Neural Network (2022), Vol. 3, Issue 2: 52-59. https://doi.org/10.38007/NN.2022.030207.

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