Pricing Model Based on BP Neural Network and Nonlinear Programming
Rui Zhao, Likun Lu, Qingtao Zeng · 2020
With the development of the mobile Internet, “photographing to make money” APP came into being. This paper studies the pricing problem of “photographing to make money” APP tasks in the Internet era. Through multiple regression fitting method, BP neural network, and spatial crowdsourcing model, the project task pricing model was obtained. Non-linear programming was used to improve the pricing model, and the accuracy and feasibility of the model were tested. It is concluded that the packaged joint release can not only increase the task completion rate, but also reduce the cost of the labor crowdsourcing platform.