@article{4013,
  author = {Mao Rui, Lingxiu Sun},
  title = {Research on the Innovation-driven Development Assessment Model Based on Artificial Intelligence Algorithms},
  journal = {Journal of Intelligent Computing},
  year = {2024},
  volume = {15},
  number = {2},
  doi = {https://doi.org/10.6025/jic/2024/15/2/52-58},
  url = {https://www.dline.info/jic/fulltext/v15n2/jicv15n2_3.pdf},
  abstract = {Innovation capability has become an essential indicator in assessing the competitiveness of a nation, a company, or an individual. However, traditional assessment methods are subjective and limited, making it difficult to comprehensively and accurately evaluate a region’s innovation capability. By constructing an innovation-driven development assessment model based on artificial intelligence algorithms, this article provides an effective method for evaluating innovation capability. The model not only provides objective evidence for decision-makers but also promotes the implementation of innovation-driven development strategies. Taking the platform economy business model as an example, this paper explores how to assess and enhance the competitiveness of B2B ecommerce companies to promote the orderly and healthy development of the B2B ecommerce industry. This paper presents innovative research on the platform economy business model driven by the BP neural network and artificial intelligence technology.},
}