This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Other. Active years: 2007.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2007
Title: Innovations of Yuan Yan Chen
Introduction
Yuan Yan Chen is an accomplished inventor based in Woodbridge, VA (US). He has made significant contributions to the field of artificial neural networks, showcasing his expertise through his innovative patent.
Latest Patents
Yuan Yan Chen holds a patent for a "Plausible Neural Network with Supervised and Unsupervised Cluster Analysis." This invention introduces a plausible neural network (PLANN) that utilizes mutual information for weight connections. The PLANN is designed to perform inference and learning while retaining characteristics of biological neural networks. Its learning algorithm is based on statistical estimation, which offers a faster alternative to the traditional gradient descent approach. After training, the network transforms into a fuzzy/belief network, allowing for simple knowledge extraction. The PLANN is capable of associative memory, supervised, semi-supervised, and unsupervised learning, as well as function and relation approximation within a single architecture. This innovative network can be easily implemented through analog VLSI circuit design.
Career Highlights
Yuan Yan Chen has demonstrated his commitment to advancing technology through his research and development efforts. His work in artificial intelligence and neural networks has positioned him as a notable figure in the field.
Collaborations
Yuan Yan Chen collaborates with Joseph Yongxiang Chen, contributing to the advancement of their shared interests in technology and innovation.
Conclusion
Yuan Yan Chen's contributions to the field of artificial neural networks exemplify his innovative spirit and dedication to advancing technology. His patent reflects a significant step forward in the capabilities of neural networks, showcasing the potential for future developments in this area.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile