Brand value fluctuation prediction and risk management of rural characteristic industries based on GAN-LSTM

Key Points

• The aim is to predict brand value fluctuations and manage associated risks in rural characteristic industries.
• Utilized GAN (Generative Adversarial Networks) and LSTM (Long Short-Term Memory) models for prediction.
• Analyzed brand value data specific to rural industries for trend identification.
• Evaluated predictive accuracy and risk management approaches based on model outputs.
• Demonstrated that GAN-LSTM effectively predicts brand value fluctuations.
• Identified significant patterns in rural industry brand values over time.
• Provided actionable insights for risk management strategies in these industries.

Abstract