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Issue title: Meta-Heuristic Techniques for Solving Computational Engineering Problems: Challenges and New Research Directions
Guest editors: Suresh Chandra Satapathy, Rashmi Agrawal and Vicente García Díaz
Article type: Research Article
Authors: Huang, Yan; *
Affiliations: School of Natural Science, The University of Manchester, Manchester, The United Kingdom
Correspondence: [*] Corresponding author. Yan Huang, School of Natural Science, The University of Manchester, Manchester, The United Kingdom. E-mail: hannyyan@163.com.
Abstract: Enterprise marketing is affected by a variety of factors, which lead to certain fluctuations in corporate market influence, and it is difficult to effectively control the elasticity of market influence. In order to improve the elastic analysis effect of enterprise marketing investment, based on the machine learning algorithm, this paper uses the equilibrium movement model to construct an intelligent model suitable for marketing simulation analysis. The equilibrium movement model used in this paper is a simulation of a real situation, which can be used for predictive analysis and can measure how much an exogenous impact can cause endogenous variables to change. Moreover, this paper establishes a mathematical model to express the influence of marketing with the help of producer surplus, quantify this influence, and use numbers to show the influence of marketing more intuitively. In addition, this paper uses case analysis to study the effect of model analysis. From the research process and conclusions, it can be seen that the model constructed in this paper has certain effects.
Keywords: Balanced mobility model, marketing, investment, elasticity analysis
DOI: 10.3233/JIFS-189462
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6251-6261, 2021
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