An efficient method for pricing analysis based on neural networks

HIGHLIGHTS

• who: Yaser Ahmad Arabyat and colleagues from the Faculty of Business, Department of Economic and Finance, Al-Blaqa Applied University, Salt, Jordan have published the research work: An Efficient Method for Pricing Analysis Based on Neural Networks, in the Journal: Risks 2022, 10, x FOR PEER REVIEW of /2022/
• what: This paper designs a stock prediction model based on the DAE-BP neural_network.
• how: The results of the five DAE encodings are respectively used for stock price prediction and the prediction results are shown in Table 1. This paper calculates the variance of . . .
  

   

  

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