Company Filing History:
Years Active: 2024-2025
Title: He Huang: Innovator in Complex-Valued Neural Networks
Introduction
He Huang is a prominent inventor based in Suzhou, China. He has made significant contributions to the field of digital communication and wind speed prediction through his innovative patents. With a total of two patents to his name, Huang's work focuses on utilizing complex-valued neural networks to enhance prediction accuracy and system design.
Latest Patents
Huang's latest patents include a "Wind speed prediction method based on forward complex-valued neural network." This invention outlines a method for predicting wind speed by constructing a feedforward complex-valued neural network (FCVNN). The process involves acquiring training and prediction sets, initializing a parameter vector, and introducing a Group Lasso regularization term into the target function for training. The FCVNN is trained using a specialized complex-valued projected quasi-Newton algorithm, ultimately improving the accuracy of wind speed predictions.
Another notable patent is the "Method for designing complex-valued channel equalizer." This invention describes a method for designing a channel equalizer in digital communication systems using a complex-valued neural network. The approach includes collecting output signals from a nonlinear channel and optimizing the training of the neural network with a new adaptive complex-valued L-BFGS algorithm. This innovation facilitates the efficient design of channel equalizers, enhancing the performance of digital communication systems.
Career Highlights
He Huang is affiliated with Soochow University, where he continues to advance research in complex-valued neural networks. His work has garnered attention for its practical applications in various technological fields. Huang's expertise in neural networks positions him as a key figure in the ongoing development of innovative solutions in digital communication and environmental prediction.
Collaborations
Huang collaborates with notable colleagues, including Zhongying Dong and Yongliang Zhang. Their combined efforts contribute to the advancement of research in complex-valued neural networks and their applications.
Conclusion
He Huang's contributions to the field of complex-valued neural networks demonstrate his commitment to innovation and research. His patents reflect a deep understanding of both theoretical and practical aspects of technology, paving the way for future advancements in digital communication and environmental prediction.