政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/137211

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113392/144379 (79%)
Visitors : 51194215 Online Users : 927

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大典藏 > College of Commerce > Department of MIS > Proceedings > Item 140.119/137211

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/137211

Title:	Comparison of Fully Connected Net with Particle Swarm Optimization Neural Network and PSO in the Diagnosis of Heart
Authors:	姜國輝 Chiang, Johannes K.
Contributors:	資管系
Keywords:	Artificial Neural Networks (ANN);Particle Swarm Optimization;PSO-ANN;Fully Connected;Heart Disease
Date:	2021-08
Issue Date:	2021-09-22 10:20:13 (UTC+8)
Abstract:	This paper proposes an Enhanced Hybrid Particle Swarm Optimization (PSO) with Artificial Neural Network (ANN), which is applied in the diagnosis of heart disease of the common features in University of California, Irvine (UCI) dataset. This UCI data includes 303 test results and consist of 13 features with two classes. One class is with health people and the other class of people are with heart disease. PSO-ANN combined Particle Swarm Optimization (PSO) and Artificial Neural Network (ANN), using ANN`s escaping mechanism to enhance the deficiency of PSO slow convergence and easy to fall into the local optimal solution. The overall search ability is increased and the tracking time is reduced. This paper uses fully connected net with PSO-ANN with Python environment compares with PSO in R, the result demonstrates that the proposed model is better than PSO around 12%.
Relation:	ICIM2021, 中華民國資訊管理學會
Data Type:	conference
Appears in Collections:	[Department of MIS] Proceedings

Files in This Item:

File	Description	Size	Format
4.pdf		216Kb	Adobe PDF2	226	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...