Fuzzy Rule-Based Explainer Systems for Deep Neural Networks: From Local Explainability to Global Understanding
Author:
Affiliation:
1. School of Computer Science, Institute for Research in Fundamental Sciences, Tehran, Iran
2. Department of Computer Science and Artificial Intelligence, DaSCI, University of Granada, Granada, Spain
Funder
Ministerio de Ciencia y Tecnología
Andalusian frontier regional project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/91/10236911/10041938.pdf?arnumber=10041938
Reference48 articles.
1. Extraction of similarity based fuzzy rules from artificial neural networks
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