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Abstract
Under the global economy, enterprises in the financial industry are facing plenty of opportunities and severe challenges. Aimed at providing a reference enterprise performance evaluation system for related enterprises, the proposed model helps enterprises to learn and sort out their own performance evaluation system according to this structure. A prediction model of BP neural network (BPNN) based on the wireless network is studied as the performance data prediction algorithm. Firstly, the feasibility of this algorithm is analysed through prediction training. Secondly, the proposed neural network algorithm is compared with the traditional algorithm for data prediction. It turns out that this neural network prediction algorithm based on wireless communication is not only universal to the prediction data but also superior to the traditional prediction algorithm in both error gap and relative average error compared with other traditional algorithms. On this basis, the particle swarm optimization (PSO) algorithm is also used to evaluate the performance indicators of three enterprises, and accurate numerical values are obtained to express the corresponding results. Therefore, it is concluded that the subalgorithm can be applied to the enterprise performance evaluation team in the financial industry.
Highlights
Since the 21st century, the global economy system has been gradually built
The prediction model of BP neural network (BPNN) implemented is subjected to prediction training, input is made according to the set parameters, and the program is initialized for the prediction operation
According to the background of the rapid development of global economy, discussion and studies are made on new performance evaluation systems of each enterprise in the financial industry
Summary
Since the 21st century, the global economy system has been gradually built. Because of the high-tech information technology and the rapid innovation of modern financial concepts, the financial markets all over the world have witnessed unprecedented changes, and various financial systems in it are facing variable opportunities and bearing huge financial risks [1]. With China’s entry into the World Trade Organization, international competition has become more intense, so many financial institutions realize that it is the foundation of today’s severe situation of the financial industry to focus on market dynamics [2]. Financial industries should adjust their management policies dynamically according to the market, to achieve real-time performance monitoring and improvement. How to establish a set of enterprise performance evaluation institutions that can adapt to the environment and itself has become a research hotspot in recent years. It is a very important job to evaluate financial institutions and the market situation objectively and practically, because the funds of financial institutions come from investors and customers. The performance systems of other enterprises can provide some reference for themselves.
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