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The Ability of Separability in a Layered Random Network

Memoirs of the Faculty of Engineering, Yamaguchi University Volume 25 Issue 2 Page 111-116
published_at 1975
KJ00000156074.pdf
[fulltext] 420 KB
Title
層状ランダム回路のパターン分離性について
The Ability of Separability in a Layered Random Network
Creators Torioka Toyoshi
Creators Kawashimo Mitsuru
Source Identifiers
The cortex of the vertebrate cerebellum has a simple and extremely fine struture. The system is organized with the mossy fibers, granule cells, Golgi cells, basket cells, and Purkinje cells. Functionally, the cortex of cerebellum works as a pattern-recognition data processing system. Moreover, this system (network) has two eminent abilities which makes the overlap of two input patterns reduce and makes the learning enhance. The present paper gives a fundamental and theoretical analysis of the ability of the former funtion and some results of computer-simulated experiment.
Subjects
電気電子工学 ( Other)
Languages jpn
Resource Type departmental bulletin paper
Publishers 山口大学工学部
Date Issued 1975
File Version Version of Record
Access Rights open access
Relations
[ISSN]0372-7661
[NCID]AN00244228
Schools 工学部