An embedded neuro-fuzzy architecture for explainable time series analysis

Explainability in Artificial Intelligence (AI) refers to the knowledge and understanding of the internal representation in a machine learning model and of how it will affect the performance of that model. In applications such as financial prediction, medical diagnosis, and detection of manufacturing...

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Bibliographic Details
Main Author: Xie, Chen
Other Authors: Deepu Rajan
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/155536
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Institution: Nanyang Technological University
Language: English