@article{3814,
  author = {Qian Fangbing},
  title = {Evaluation of Art and Design Talents Based on the Combination of Entropy Method and BP Neural Network},
  journal = {Journal of Networking Technology},
  year = {2023},
  volume = {14},
  number = {3},
  doi = {https://doi.org/10.6025/jnt/2023/14/3/76-85},
  url = {https://www.dline.info/jnt/fulltext/v14n3/jntv14n3_3.pdf},
  abstract = {With the development of the economy and the improvement of people’s living standards, the field of art and design has gained widespread application and attention. Evaluating art and design talents is a vital link in art and design. How to objectively and accurately evaluate the comprehensive quality of art and design talents is an urgent problem to be solved. This article proposes a talent evaluation model for art and design, combining the entropy method and BP neural network. This model aims to objectively and accurately evaluate the comprehensive quality of art and design talents and provide a scientific basis for talent selection. This article first introduces the evaluation model’s basic principle and construction process and then elaborates on the specific implementation method of combining the entropy method with the BP neural network. Finally, the feasibility and effectiveness of the evaluation model are verified through experiments.},
}