This inventor holds 1 USPTO granted patent. Top assignee: Matsushita Electric Industrial Co., Ltd.. Active years: 1992.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1992
Title: Hayato Togawa: Innovator in Neural Network Technology
Introduction
Hayato Togawa is a prominent inventor based in Tokyo, Japan. He has made significant contributions to the field of neural networks, particularly through his innovative patent that enhances iterative learning machines. His work is recognized for its potential to improve efficiency in machine learning processes.
Latest Patents
Togawa holds a patent for a "Neutral network with plural weight calculation methods and variation." This invention introduces an iterative learning machine that utilizes a conjugate gradient direction instead of the conventional steepest descent direction. This approach effectively saves time during the learning process. Additionally, the learning rates are dynamically set, and error calculations for multiple learning rates are performed by storing product-sum data in a hidden layer. This method allows for adjustments to be made when the learning process becomes ineffective, thereby restarting the learning cycle.
Career Highlights
Hayato Togawa is associated with Matsushita Electric Industrial Co., Ltd., a company known for its commitment to innovation and technology. His work at Matsushita has allowed him to explore and develop advanced technologies in the field of artificial intelligence and machine learning.
Collaborations
Togawa has collaborated with notable colleagues, including Shigeo Sakaue and Toshiyuki Kohda. These partnerships have contributed to the advancement of his research and the successful implementation of his inventions.
Conclusion
Hayato Togawa's contributions to neural network technology exemplify the innovative spirit of modern inventors. His patent reflects a significant advancement in machine learning, showcasing the potential for improved efficiency in artificial intelligence applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
