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Application of the Fuzzy Neural Network Algorithm in the Exploration of the Agricultural Products E-Commerce Path

Shuangying Liu1, Weidong Zhang2,*

1 School of Trade and Economics, Jilin Engineering Normal University, Changchun 130052, China
2 College of Mechanical Engineering, Jilin Engineering Normal University, Changchun 130052, China
Address: 3050 Kaixuan road, Changchun

* Corresponding Author: Weidong Zhang, email

Intelligent Automation & Soft Computing 2020, 26(3), 569-575.


The constant development of computer technology has greatly facilitated our life. In the past, the agricultural products trade and agricultural products business model were an offline development, through face-to-face transactions. However, with the continuous application of Internet technology, we also have a new exploration on the e-commerce path of agricultural products. The fuzzy neural network algorithm was used to study the electronic commerce path of agricultural products and helped us to carry out the exploration computation of the electronic commerce path of agricultural products. And good calculation results have been obtained. Through our testing of the fuzzy neural network algorithm, the computational efficiency and feasibility of the algorithm have been proven.


Cite This Article

S. Liu and W. Zhang, "Application of the fuzzy neural network algorithm in the exploration of the agricultural products e-commerce path," Intelligent Automation & Soft Computing, vol. 26, no.3, pp. 569–575, 2020.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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