Research on Practical Intelligent Mode of Digital Image Economy Based on Improved Genetic Multilayer Neural Network.

Journal: Computational intelligence and neuroscience
Published Date:

Abstract

In the context of economic globalization and digitization, the current financial field is in an unprecedented complex situation. The methods and means to deal with this complexity are developing towards image intelligence. This paper takes financial prediction as the starting point, selects the artificial neural network in the intelligent algorithm and optimizes the algorithm, forecasts through the improved multilayer neural network, and compares it with the traditional neural network. Through comparison, it is found that the prediction success rate of the improved genetic multilayer neural network increases with the increase of the dimension of the input image data. This shows that, by adding more technical indicators as the input of the combined network, the prediction efficiency of the improved genetic multilayer neural network can be further improved and the advantage of computing speed can be maintained.

Authors

  • Min Guo
    Key Laboratory of Biology and Sustainable Management of Plant Diseases and Pests of Anhui Higher Education Institutes, Hefei, People's Republic of China.
  • Liying Song
    School of Economics and Finance, Xi'an Jiaotong University, Xian, Shaanxi 710061, China.
  • Muhammad Ilyas
    Department of Community Medical Science, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.