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Dynamic Evaluation and System Coordination Study of Asset Valuation Based on Deep Learning

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  • Lige Liu
  • Shenge Chen
  • Ning Cao

Abstract

With the rapid development of artificial intelligence, the information construction of the database plays a very important role in various industries, such as the field of asset appraisal. Therefore, we can use deep learning technology to carry out a dynamic evaluation of asset appraisal, simultaneously adjust, and improve the coordination degree for such system. In this paper, according to asset appraisal theory, we conduct a comprehensive scientific study on asset appraisal about the information construction of the database and the evaluation system, which is conducive to promote the self-improvement and development of the asset appraisal industry in terms of internal control construction. Experimental results show that our method using DL (deep learning) can well accomplish the dynamic evaluation of asset appraisal with competitive performance.

Suggested Citation

  • Lige Liu & Shenge Chen & Ning Cao, 2022. "Dynamic Evaluation and System Coordination Study of Asset Valuation Based on Deep Learning," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-7, June.
    • Handle: RePEc:hin:jnlmpe:1056869
    DOI: 10.1155/2022/1056869
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