In the vast sea of information, the powerful ability of machine learning (ML) algorithms to
identify specific objects through goal guidance makes them stand out from the many …

This article's goal is to investigate, using an intelligent random forest model (RFM), the
logistics supply chain's network risk control method. The logistics supply chain network, a …

As ANN is more and more widely used in various scientific research fields, the research on
its optimization algorithm and application technology has become the key direction in the …

In order to understand the environmental trend of network finance and the impact of network
finance on traditional ommercial banks, after analyzing the transaction risks of network …

The emergence of the financial supply chain provides assistance for small, medium and
micro enterprises in the supply chain through a secured credit model based on real trade …

In view of the financial risks faced by listed enterprises, how to accurately predict the risks is
an important work. However, the traditional LSTM financial diagnosis model has the …

Innovative companies based on the combination of Internet technology and the financial
industry have also started to specialise in the financial industry, with the entry of Fun Store …

With the popularity of the Internet, the rise of e‐commerce platforms has led to the rapid
development of supply chain (SC) financial services in China, and the competitiveness of …

At present, the proposed network finance technology data risk assessment time is too long,
leading to low accuracy. In order to solve the above problems, this paper puts forward the …

This study seeks to assist small and medium enterprises break free of the constraints of the
conventional financing model and lessen the supply chain finance risks they face. First, the …