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Design of Consumer Confidence Prediction Index Model based on DEGWO Algorithm

Yijian Zhang
pp.147-153 DOI: 10.62051/r88re536 July 8, 2024
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Abstract: Based on the CCI index released by China Economic Information Network, combined with the DEGWO difference algorithm and BP neural network regression; Constructed a DEGWO-BP synthesis algorithm under machine learning mode to predict and fit consumer confidence index; The empirical results show that the cumulative error of the consumer confidence index using the DEGWO-BP algorithm is the lowest, only 37.8273; The average absolute error of the model is the lowest, and the model has the minimum level of deviation; The model with the minimum extreme deviation value has the strongest stability.
Keywords: Consumer Confidence Index; BP Neural Network; DEGWO Algorithm; Error Analysis.
APA Citation: Yijian Zhang (2024). Design of Consumer Confidence Prediction Index Model based on DEGWO Algorithm. Transactions on Social Science, Education and Humanities Research, 9(1), 147-153. https://doi.org/10.62051/r88re536

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