Research and application of artificial neural network prediction model in deep learning

Guoxun Zheng; Hua Zhang; Xuekun Yao

doi:10.1117/12.2659276

23 November 2022 Research and application of artificial neural network prediction model in deep learning

Guoxun Zheng, Hua Zhang, Xuekun Yao

Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124542B (2022) https://doi.org/10.1117/12.2659276
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China

Abstract

In today's rapid development of artificial intelligence and big data, when people make decisions, they want to give guidance and advice through data-related information, such as: Will banks lose customers? Is the energy consumption data normal? How much is the price? These predictions and judgments can be built through deep learning models to obtain corresponding results. Through the research of artificial neural network in deep learning, this paper sorts out the key steps of its application, and proves through experimental data that the prediction model constructed based on artificial neural network has higher accuracy and less time-consuming.

Citation Download Citation

Guoxun Zheng, Hua Zhang, and Xuekun Yao "Research and application of artificial neural network prediction model in deep learning", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124542B (23 November 2022); https://doi.org/10.1117/12.2659276

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