MLP neural network-based regional logistics demand prediction

  • PDF / 1,471,429 Bytes
  • 14 Pages / 595.276 x 790.866 pts Page_size
  • 94 Downloads / 201 Views

DOWNLOAD

REPORT


(0123456789().,-volV)(0123456789(). ,- volV)

S.I. : SPIOT 2020

MLP neural network-based regional logistics demand prediction Hongpeng Guo1 • Cheng Guo1 • Beichun Xu1,2 • Yujie Xia1 • Fanhui Sun1 Received: 7 August 2020 / Accepted: 27 October 2020 Ó Springer-Verlag London Ltd., part of Springer Nature 2020

Abstract The introduction of logistics theory and logistics technology has made the government and enterprises gradually realize that the development of logistics has an important strategic role, which can effectively solve the changing needs of users, optimize resource allocation, improve the investment environment, and enhance the overall strength and overall competitiveness of the regional economy. This paper carries out matrix–vector multiplication operations and weight update operations, designs a perceptron neural network model, and realizes a simulation platform based on MLP neural network. Moreover, on the basis of the standard MLP neural network, this paper proposes to use the deep learning training mechanism to improve the MLP neural network, which provides effective technical support for the improvement of the prediction model. In addition, through the fusion of deep learning and MLP neural network, an MLP neural network with three hidden layers is determined. Finally, this paper builds a model based on the MLP neural network algorithm, selects the RBF kernel function as the kernel function of the model by referring to the relevant literature, and uses PSO to optimize the combination of parameters. It can be seen from the result of the evaluation index that each evaluation index is relatively small. The result shows that the prediction is accurate, and the empirical result shows the feasibility of the model to predict the demand for industrial logistics in Shanxi Province. Keywords MPL neural network  Regional logistics  Demand prediction  Prediction model

1 Introduction Urban logistics is the foundation to ensure the normal operation of various functions of the city and is a new engine to promote the healthy and stable development of the urban economy. With the continuous deepening of economic transformation and the optimization and upgrading of industrial structure, the process of professionalization and socialization of logistics has accelerated significantly, which has stimulated the continuous growth of logistics demand in various industries and improved the level of logistics demand. In particular, the development of e-commerce has increased the demand for urban logistics services [1].

& Yujie Xia [email protected] 1

College of Biological and Agricultural Engineering, Jilin University, Changchun 130025, China

2

Changchun Normal University, Changchun 130000, China

In recent years, with the continuous strengthening of regional integration and regional coordinated development, the division of labor and cooperation in industries has gradually matured, resulting in the continuous rise in the level of socialization and specialization of production. Moreover, the modern logistics industry h

Data Loading...