Nanchang, China

Chang Tan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Chang Tan - Innovator in Heavy-Haul Train Control Systems

Introduction

Chang Tan is a prominent inventor based in Nanchang, China. He has made significant contributions to the field of transportation technology, particularly in the control systems for heavy-haul trains. His innovative approach utilizes advanced techniques in reinforcement learning to enhance the efficiency and safety of train operations.

Latest Patents

Chang Tan holds a patent for a "Method and system for controlling heavy-haul train based on reinforcement learning." This patent outlines a sophisticated method that involves obtaining operation state information of a heavy-haul train at a current time point. The system then determines the next action for the train based on this information and a virtual controller, which is trained using a reinforcement learning network. This network employs a soft actor-critic (SAC) reinforcement learning algorithm, consisting of one actor network and two critic networks, to optimize the control of heavy-haul trains.

Career Highlights

Chang Tan is affiliated with East China Jiaotong University, where he contributes to research and development in transportation systems. His work focuses on integrating artificial intelligence with traditional engineering practices to improve operational efficiencies in the railway sector. With 1 patent to his name, he is recognized for his innovative solutions that address real-world challenges in train control.

Collaborations

Chang Tan collaborates with various professionals in his field, including his coworker Yu Wang. Together, they work on advancing the technology and methodologies used in heavy-haul train operations.

Conclusion

Chang Tan's contributions to the field of heavy-haul train control systems exemplify the intersection of technology and transportation. His innovative methods are paving the way for safer and more efficient train operations.

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