FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network-Reference-Cited by-同舟云学术

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FE-RNN: A fuzzy embedded recurrent neural network for improving interpretability of underlying neural network

Published:2024-03 Issue: Volume:663 Page:120276
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Chee Min Tan James,Cao Qi^ORCID,Quek Chai^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI);Adadi;IEEE Access,2018

2. Revealing chaos synchronization below the threshold in coupled Mackey-Glass systems;Akhmet;Mathematics,2023

3. Development of two-phase logic-oriented fuzzy AND/OR network;Alateeq;Neurocomputing,2022

4. Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI;Arrieta;Information Fusion,2020

5. Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks;Bacanin;Information Sciences,2023

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