Regression Model for Bike-Sharing Service by Using Machine Learning
作者: Zhifeng Wang
刊名: Asian Journal of Social Science Studies, 2019, Vol.4 (4)
来源数据库: July Press
DOI: 10.20849/ajsss.v4i4.666
原始语种摘要: The bike sharing system has brought wide convenience to residents in the city and serves as important tools to transport from one place to another place. For the bike sharing companies, they need to know the total users of bike, so they can release suitable number of bikes into the market. This paper uses visualization technology to visualize data and figure out the possible factors which can impact the total number of users. After completing the data analyzing, this paper figures out the season, weather sit, feeling temperature, humanity and wind speed are the main factors which can have impacts on the total number of users. In the second stages, this paper uses regression model, NN model, ELM model and DELM model to predict the possible number of bike users. The input factors are...
全文获取路径: July Press 

  • total 总和
  • number 号码
  • completing 完成
  • speed 速率
  • users 使用者
  • sharing 共用
  • model 模型
  • convenience 便利
  • paper 
  • system