This inventor holds 3 USPTO granted patents. Top assignee: Litton Systems, Inc.. Active years: 1993-1996.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1993-1996
Title: Innovations of Leon K Ekchian
Introduction
Leon K Ekchian is a notable inventor based in Northridge, CA (US). He has made significant contributions to the field of neural networks, holding a total of 3 patents. His work focuses on enhancing the stability and efficiency of neural network systems.
Latest Patents
One of his latest patents is the 'Barometer' neuron for a neural network. This invention enhances stability in a neural network system by assigning sensor plots to predicted track positions in a plot/track association situation. The 'Barometer' neuron functions as a benchmark or reference system node, equating a superimposed plot and track to a zero distance as a 'perfect' pairing. It responds to system inputs, compares these inputs against the level of inhibition of the 'perfect' pair, and generates an output signal to adjust the system to a desired value.
Another significant patent is the vector neural network (VNN). The VNN consists of interconnected neurons that improve the signal-to-noise ratio by integrating target energy over multiple frames. This invention allows for the declaration of both target location and velocity while minimizing the loss of target information. The VNN can also detect target maneuvers through energy balancing hypotheses.
Career Highlights
Leon K Ekchian has worked at Litton Systems, Inc., where he has been able to apply his innovative ideas in practical applications. His contributions have been instrumental in advancing the capabilities of neural networks.
Collaborations
He has collaborated with notable coworkers such as David D Johnson and William F Smith, further enhancing the impact of his work in the field.
Conclusion
Leon K Ekchian's innovative patents and contributions to neural networks demonstrate his significant role in advancing technology. His work continues to influence the development of more efficient and effective neural network systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile