Research and application of improved neural network optimization algorithm

Weixiang Sun

doi:10.1117/12.2660936

2 February 2023 Research and application of improved neural network optimization algorithm

Weixiang Sun

Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124622E (2023) https://doi.org/10.1117/12.2660936
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

In order to improve the computational efficiency and accuracy of the neural network algorithm, this research establishes an optimized neural network algorithm. Firstly, the optimal training function and the optimal number of hidden layer nodes of the neural network are obtained by using the empirical formula method; secondly, the prediction accuracy of the neural network is optimized, and the science of the neural network is improved. Finally, with the network as the core algorithm, the quantitative adjustment rate is used as the weight coefficient to improve the evaluation and calculation of the impact factor MIV.

Citation Download Citation

Weixiang Sun "Research and application of improved neural network optimization algorithm", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124622E (2 February 2023); https://doi.org/10.1117/12.2660936

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