Application and Analysis of Fuzzy Neural Network Algorithm Based on Cloud Computing Platform in Enterprise Network Marketing

• Main Authors: W. Xun, Y.B. An, R. Jie
• Format: Article
• Language: English
• Published: AIDIC Servizi S.r.l. 2015-12-01
• Series: Chemical Engineering Transactions
• Online Access: https://www.cetjournal.it/index.php/cet/article/view/4237

The emergence of cloud computing provides a convenient and efficient tool for solving the problem of enterprise network marketing. Cloud computing service mode can effectively reduce the cost of software and hardware, and flexibility to adapt to the needs of enterprises in different stages of development. Therefore, the construction mode of cloud computing will effectively solve the problem of enterprise network marketing. Combined with the characteristics of enterprise system and management, cloud computing can achieve data and application sharing between different devices with lower equipment requirements. With the characteristics of network marketing, this paper analyzes the basic structure of cloud computing, and proposes a kind of intuitionistic fuzzy neural network algorithm which is based on cloud computing. First, we divide the training sample into several sub blocks, and then put each sub block into the training network. After the training, we put the results into the membership network and non membership network. At the same time, we take the test sample to complete the calculation of the membership network and non membership network. Finally, the output value of the test sample and the training sample is synthesized by intuition, and the output value of the intuitionistic fuzzy neural network is obtained. In addition, we use MAP-REDUCE to determine the connection weights of neural networks in cloud computing. This effectively solves the problem of big data and long time consuming in the data mining network marketing information. Finally, we validate the algorithm on the cloud computing platform. The experimental results show that this paper has good application effect and prospect in the field of enterprise network marketing.