首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:EXPLAINABLE AI - REDUCING COSTS, FINDING THE OPTIMAL PATH BETWEEN GRAPHICAL LOCATIONS
  • 本地全文:下载
  • 作者:P.Akilandeswari ; M.Eliazer ; Rohan Patil
  • 期刊名称:International Journal of Early Childhood Special Education
  • 电子版ISSN:1308-5581
  • 出版年度:2022
  • 卷号:14
  • 期号:3
  • 页码:504-511
  • DOI:10.9756/INT-JECSE/V14I3.65
  • 语种:English
  • 出版社:International Journal of Early Childhood Special Education
  • 摘要:This paper solves the problem of finding a location to set upa factory/plant and using XAI to bring clarity in the functioning of machine learning models. The environment will be a grid with each cell having different characteristics. The goal would be to make sure the political, economic, environmental, and facility situations of the cell are ideal and it isthe minimum distance from nearby coal mines. Finding an ideal location would ensure that costs are reduced and profits are earned from setting up the factory. Applying the concept of XAI will ensure that there is visibility in how the model is performing and that the user experience is great.
  • 关键词:Explainable Artificial Intelligence;Random Forest;Analytic Hierarchy Process;Hyper-parameter tuning
国家哲学社会科学文献中心版权所有