A study of fuzzy logic ensemble system performance on face recognition problem

5th International Workshop on Mathematical Models and their Applications 2016

Polyakova, A.^1 ; Lipinskiy, L.^1

Reshetnev Siberian State Aerospace University, 31 Krasnoyarskiy Rabochiy Ave., Krasnoyarsk

660037, Russia^1

关键词: Data mining algorithm;    Ensemble systems;    Final decision;    Informational technologies;    Intelligent information;    Principal components analysis;    Regression problem;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/173/1/012013/pdf
DOI  :  10.1088/1757-899X/173/1/012013

来源: IOP

【 摘 要 】

Some problems are difficult to solve by using a single intelligent information technology (IIT). The ensemble of the various data mining (DM) techniques is a set of models which are able to solve the problem by itself, but the combination of which allows increasing the efficiency of the system as a whole. Using the IIT ensembles can improve the reliability and efficiency of the final decision, since it emphasizes on the diversity of its components. The new method of the intellectual informational technology ensemble design is considered in this paper. It is based on the fuzzy logic and is designed to solve the classification and regression problems. The ensemble consists of several data mining algorithms: artificial neural network, support vector machine and decision trees. These algorithms and their ensemble have been tested by solving the face recognition problems. Principal components analysis (PCA) is used for feature selection.