Improving collective interpretation by extended potentiality assimilation for multi-layered neural networks

The present paper aims to extend the potential learning method to overcome the problem of collective interpretation, which aims to interpret multi-layered neural networks by compressing them into the simplest ones. In the process of compression, positive, negative, and complicated weights have had u...

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Bibliographic Details
Main Authors: Ryotaro Kamimura, Haruhiko Takeuchi
Format: Article
Language:English
Published: Taylor & Francis Group 2020-04-01
Series:Connection Science
Subjects:
Online Access:http://dx.doi.org/10.1080/09540091.2019.1674245