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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/155536 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |