Optimizing Adaptive Neuro Fuzzy Inference System (Anfis) With Dragonfly Algorithm For Cardiovascular Disease
Cardiovascular disease (CVD) remains a great concern in the field of healthcare. It is responsible for the highest mortality rate leading cause of death worldwide. This research utilizes an Adaptive neuro-fuzzy inference system (ANFIS) and addresses the problem of topology and parametric configurati...
Saved in:
Main Author: | Jinjiri, Wada Mohammed |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | http://eprints.usm.my/60543/1/Pages%20from%20WADA%20MOHAMMED%20JINJIRI%20-%20TESIS.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Covid-19 Misinformation Classification On Twitter In Malaysia Using A Hybrid Adaptive Neuro-Fuzzy Inferences System (Anfis) And Deep Neural Network (Dnn)
by: Ravichandran, Bhavani Devi
Published: (2023) -
Adapting Artificial Immune Algorithms For University Timetabling
by: Malim , Muhammad Rozi
Published: (2009) -
Harmony search-based fuzzy clustering algorithms for image segmentation.
by: Alia, Osama Moh’d Radi
Published: (2011) -
Adapting and enhancing mussels wandering optimization algorithm for supervised training of neural networks
by: Abusnaina, Ahmed A. A.
Published: (2015) -
A Menu Planning Model Using Hybrid Genetic Algorithm And Fuzzy Reasoning: A Study On Malaysian Geriatric Cancer Patients
by: Ngo , Hea Choon
Published: (2016)