[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact :: بخش فارسی ::
:: Volume 8, Issue 4 (wintre 2017) ::
3 2017, 8(4): 301-311 Back to browse issues page
Design of Heuristic Ensemble Classifiers with High Reliability
Zeinab Khatoun Pourtaheri, Seyed Hamid Zahiri Prof. *, Seyed Mohammad Razavi Dr.
Abstract:   (1208 Views)
Sometimes, the reliability in decision of a classifier is more important than its recognition rate. Military and security applications are clear examples to show the importance of this measure. For example, the inability of an automatic targets recognition system to distinguish all types of military planes increases its error rate but the decision of this system for recognition of military targets should be accompanied with maximum reliability and never should be considered a civilian as a military target. This paper presents an ensemble classifier with high reliability by using multi-objective heuristic methods. Moreover, ensemble size and error rate have been minimized. Multi-Objective Particle Swarm Optimization Algorithm and Multi-Objective Inclined Planes Optimization Algorithm are the multi-objective heuristic methods which are used in this paper. The recent method is applied to design ensemble classifiers for the first time. Due to the ability of multi-objective heuristic methods in presentation of the Pareto front, it's possible to create various and user-defined conditions; conditions in which the importance of each factor (ensemble size, error rate and reliability) can be strengthened and weakened.
Keywords: Ensemble Classifier, Reliability, Multi-Objective Inclined Planes Optimization Algorithm, Classifier Selection
Full-Text [PDF 875 kb]   (532 Downloads)    
Type of Study: Research | Subject: electronics
Received: 2016/05/30 | Accepted: 2017/04/3 | Published: 2017/07/30
Add your comments about this article
Your username or Email:


XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Pourtaheri Z K, Zahiri S H, Razavi S M. Design of Heuristic Ensemble Classifiers with High Reliability. 3. 2017; 8 (4) :301-311
URL: http://adst.ir/article-1-903-en.html

Volume 8, Issue 4 (wintre 2017) Back to browse issues page
علوم و فناوری های پدافند نوین ADST Journal
درجه علمی - پژوهشی توسط وزارت علوم، تحقیقات و فناوری اعطا گردید.