Open Access Paper
28 December 2022 Research on BP neural network model based on feature engineering
Lei Yang, Longqing Zhang, Yong Fan, Liwei Tian, Yungui Chen
Author Affiliations +
Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125062Y (2022) https://doi.org/10.1117/12.2662000
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
This research used the machine learning algorithm of the BP neural network to predict a data set. In order to verify the performance of the prediction model, we introduce the confusion matrix and F1 score to evaluate the effect of machine learning. In order to optimize the BP neural network model, we use feature engineering to process the data set and apply the BP neural network model to this new data set. The experimental results show that the machine learning performance of the BP neural network model based on feature engineering is improved.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Yang, Longqing Zhang, Yong Fan, Liwei Tian, and Yungui Chen "Research on BP neural network model based on feature engineering", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125062Y (28 December 2022); https://doi.org/10.1117/12.2662000
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KEYWORDS
Neural networks

Data modeling

Machine learning

Data processing

Neurons

Performance modeling

Process engineering

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