Yamato, Japan

Jun'ichi Tanahashi


Average Co-Inventor Count = 4.0

ph-index = 3

Forward Citations = 81(Granted Patents)


Company Filing History:


Years Active: 1978-2000

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4 patents (USPTO):Explore Patents

Title: Jun'ichi Tanahashi: Innovator in Data Processing Technologies

Introduction

Jun'ichi Tanahashi is a prominent inventor based in Yamato, Japan. He has made significant contributions to the field of data processing, holding a total of 4 patents. His work focuses on developing innovative learning systems that enhance data conversion processes.

Latest Patents

One of Jun'ichi Tanahashi's latest patents is a learning system for a data processing apparatus. This system is designed to learn an input pattern by obtaining an internal-state value necessary for realizing a desired data conversion. It performs a pattern conversion defined by the internal-state value and calculates an output pattern corresponding to the input pattern. The learning system includes a pattern presenting unit that presents an input pattern group of the subject to be learned for pattern conversion. It divides the input pattern group into at least two sets, selects one of the divided sets, and presents the input pattern group of the selected set to a pattern conversion unit. Additionally, it calculates an error value representing the magnitude of a non-consistency between the output pattern group and a teacher pattern group.

Career Highlights

Jun'ichi Tanahashi is currently employed at Fujitsu Corporation, where he continues to innovate in the field of data processing technologies. His work has been instrumental in advancing the capabilities of data processing systems.

Collaborations

Throughout his career, Jun'ichi has collaborated with notable colleagues, including Ryusuke Masuoka and Nobuo Watanabe. These collaborations have contributed to the development of cutting-edge technologies in data processing.

Conclusion

Jun'ichi Tanahashi is a distinguished inventor whose work in data processing has led to significant advancements in the field. His innovative learning systems are paving the way for more efficient data conversion processes.

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