A system for detection of Liver Disorders based on Adaptive Neural Networks and Artificial Immune System
dc.contributor.author | Kahramanli, Humar | |
dc.contributor.author | Allahverdi, Novruz | |
dc.date.accessioned | 2020-03-26T17:26:21Z | |
dc.date.available | 2020-03-26T17:26:21Z | |
dc.date.issued | 2008 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description | 8th WSEAS International Conference on Applied Computer Science (ACS 08) -- NOV 21-23, 2008 -- Venice, ITALY | en_US |
dc.description.abstract | Although Artificial Neural Network (ANN) may achieve high accuracy of classification, the knowledge acquired by them is incomprehensible for humans. This fact is causing a serious problem in data mining applications. The rules that are derived from ANN are needed to be formed to solve this problem and various methods have been improved to extract these rules. Selection of the activation function is important in the performance of ANN. Networks with adaptive activation function seem to provide better fitting properties than classical architectures with fixed activation function neurons [1]. In this study, first neural network has been trained with adaptive activation function. Then for the purpose of extracting rules from adaptive ANN which has been trained for classification, OptaiNET that is an Artificial Immune Algorithm (AIS) has been used and a set of rules has been formed for liver disorder. | en_US |
dc.description.sponsorship | WSEAS | en_US |
dc.description.sponsorship | Scientific Research Projects Unit of Selcuk UniversitySelcuk University | en_US |
dc.description.sponsorship | This study is supported by the Scientific Research Projects Unit of Selcuk University. | en_US |
dc.identifier.endpage | + | en_US |
dc.identifier.isbn | 978-960-474-028-4 | |
dc.identifier.issn | 1790-5109 | en_US |
dc.identifier.startpage | 25 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/22177 | |
dc.identifier.wos | WOS:000264170900002 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.language.iso | en | en_US |
dc.publisher | WORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC | en_US |
dc.relation.ispartof | PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON APPLIED COMPUTER SCIENCE (ACS'08): RECENT ADVANCES ON APPLIED COMPUTER SCIENCE | en_US |
dc.relation.ispartofseries | Recent Advances in Computer Engineering | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | Adaptive Neural Networks | en_US |
dc.subject | Artificial Immune Systems | en_US |
dc.subject | Optimization | en_US |
dc.subject | Rule extraction | en_US |
dc.subject | Liver Disorders | en_US |
dc.title | A system for detection of Liver Disorders based on Adaptive Neural Networks and Artificial Immune System | en_US |
dc.type | Conference Object | en_US |