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Multidimensional analysis and prediction based on convolutional neural network

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Abstract

At present, artificial intelligence methods such as machine learning are widely used in E-commerce enterprises, but the disconnection between business practice and prediction technology is still a real challenge for E-commerce enterprises. Firstly, this paper focuses on the actual business of E-commerce enterprises, carries on a multi-dimensional analysis of the influencing factors of E-commerce sales, refines various factors affecting E-commerce sales, further summarizes the feature construction work of E-commerce sales prediction, constructs the feature project of sales prediction, and provides reference for the practical application of E-commerce enterprises. Secondly, an E-commerce sales forecasting model based on Convolutional Neural Network (CNN) and soft computing is proposed. The model adopts the feature learning of CNN’s AlexNet and integrates the attention mechanism. Finally, based on the data of E-commerce enterprises, this paper compares the prediction effects of other conventional machine learning models. The experimental results show that the CNN based fusion prediction model proposed in this paper can improve the accuracy rate, have better prediction performance, and provide an effective in-depth learning method.

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Acknowledgements

This work was supported in part by the foundation of 2023 Jilin Province Education Department (Grant No. JJKH20230726SK); The foundation of the S&T fund project of Changchun Institute of Technology (Grant No. 320200009); Changchun Social Science Planning Project (Grant No. CSKT2022ZX-004); The People’s Republic of China Ministry of Education Cooperation and Cooperative Education Project (Grant No. 220503284263256).

Funding

Funding was provided by 2023 Jilin Province Education Department (Grant No. JJKH20230726SK), the S&T fund project of Changchun Institute of Technology (Grant No. 320200009), Changchun Social Science Planning Project (Grant No. CSKT2022ZX-004), The People's Republic of China Ministry of Education Cooperation and Cooperative Education Project (Grant No. 220503284263256).

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  1. School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun, 130012, China

    Jie Bao

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  1. Jie Bao
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Bao, J. Multidimensional analysis and prediction based on convolutional neural network. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08210-z

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