Na Deng

Title: Na Deng: Innovator in Deep Learning-Based Demand Forecasting

Introduction

Na Deng is an accomplished inventor based in Keller, TX (US). He has made significant contributions to the field of demand forecasting through innovative methods that leverage deep learning technologies. With a total of 2 patents, his work is paving the way for advancements in predictive analytics.

Latest Patents

Na Deng's latest patents focus on a deep learning-based demand forecasting system. This method involves training a neural network to approximate forecasting errors in a passenger-demand forecasting model. The process includes calculating historical passenger demand forecasts for various key levels and departure dates, applying a dropout model to create a training sample, and training the neural network to approximate forecasting errors. Furthermore, it calculates future passenger demand forecasts and uses the trained neural network to approximate forecasting errors for future dates.

Career Highlights

Na Deng is currently employed at American Airlines, Inc., where he applies his expertise in deep learning and demand forecasting. His innovative approaches are instrumental in enhancing the efficiency and accuracy of passenger demand predictions.

Collaborations

Na Deng collaborates with talented coworkers, including Benjamin Segal and Ou Bai, who contribute to the development of advanced forecasting systems.

Conclusion

Na Deng's work in deep learning-based demand forecasting exemplifies the intersection of technology and innovation in the aviation industry. His contributions are vital for improving predictive analytics and enhancing operational efficiency.