摘要
以2017年全国大学生数学建模比赛B题为基础,运用K-means算法,初步观测定价大致的分布规律,接着采用数据拟合和倒推算法分析任务未完成的原因,探讨关于“拍照赚钱”APP任务定价的相关问题.提出利用微量随机舍弃算法和定价偏差取舍原理建立定价模型,在一定程度上提高任务的完成度.
Based on Question B of the 2017 National Mathematical Contest in Modeling for college students,issues related to the task pricing of“Make Money by Photographing”APP are studied through k-means algorithm and preliminary observation of the general price distribution.Data fitting and backward inferring algorithms are used to analyze the cause of the unfinished task.Then the trace stochastic discard algorithm and the pricing deviation selection principle are proposed to establish a pricing model to improve the completion of the task.
作者
凌雪岷
LING Xuemin(General Education Department,Anhui Xinhua University,Hefei,Anhui 230088)
出处
《玉溪师范学院学报》
2020年第6期15-22,共8页
Journal of Yuxi Normal University
基金
安徽省质量工程线上线下混合式和社会实践课程(2020xsxxkc222).
关键词
任务定价
数据拟合
倒推算法
微量随机舍弃算法
task pricing
data fitting
backward algorithm
trace stochastic discard algorithm
