Open Access
ARTICLE
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,
Intelligent Automation & Soft Computing 2020, 26(3), 569-575. https://doi.org/10.32604/iasc.2020.013935
Abstract
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.
Keywords
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. https://doi.org/10.32604/iasc.2020.013935
Citations