Yukang Chen

Title: Innovations of Yukang Chen in Neural Network Technology

Introduction

Yukang Chen is a prominent inventor based in Beijing, China. He has made significant contributions to the field of neural networks, particularly through his innovative patent. His work focuses on optimizing neural network structures using advanced algorithms.

Latest Patents

Yukang Chen holds a patent for a "Method for generating neural network and electronic device." This patent discloses a method that includes obtaining an optimal neural network and a worst neural network from a neural network framework by using an evolutionary algorithm. The process further involves obtaining an optimized neural network from the optimal neural network through a reinforcement learning algorithm. The method updates the neural network framework by adding the optimized neural network and deleting the worst one, ultimately determining a generated neural network from the updated framework. This approach allows for rapid and stable generation of neural network structures.

Career Highlights

Yukang Chen is associated with Beijing Horizon Robotics Technology Research and Development Co., Ltd. His role in the company has been pivotal in advancing research and development in neural network technologies. His innovative methods have the potential to enhance the efficiency and effectiveness of electronic devices.

Collaborations

Yukang Chen collaborates with notable colleagues, including Qian Zhang and Chang Huang. Their combined expertise contributes to the advancement of technology in their field.

Conclusion

Yukang Chen's contributions to neural network technology through his patent demonstrate his innovative spirit and commitment to advancing the field. His work is a testament to the potential of combining evolutionary algorithms with reinforcement learning for optimizing neural networks.