GEMM-SaFIN(FRIE)++ : explainable artificial intelligent with episodic memory
Neuro-fuzzy systems are hybrid systems that take advantage on the functionalities of fuzzy logics and neural networks. The IF-THEN fuzzy rules allow good interpretability for human experts to understand the correlation between inputs and outputs. However, only the neuro-fuzzy’s designer knows the me...
Main Author: | Ko, Nelson Mingwei |
---|---|
Other Authors: | Quek Hiok Chai |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/137999 |
Similar Items
-
SAFIN(FRIE)++ : type-I online mandami fuzzy inference system with application in option trading
by: Vo Duy Tung
Published: (2017) -
GEMM-eMFIS (FRI/E) : a novel general episodic memory mechanism for fuzzy neural networks
by: Pang, Sheng Wei
Published: (2019) -
GEMM-eMFIS(FRI/E) : a general episodic memory mechanism for neuro-fuzzy networks
by: Tekwani Puneet
Published: (2021) -
Software testing and explainable: A study for evaluating XAI methods on software testing datasets
by: Tay, Glenn
Published: (2023) -
A data auditing tool based on explainable artificial intelligence
by: Wong, Jing Yao
Published: (2022)