Comparison of the Effects of Different Dimensional Reduction Algorithms on the Training Performance of Anfis (Adaptive Neuro-Fuzzy Inference System) Model
Journal Title: Cumhuriyet Science journal - Year 2017, Vol 38, Issue 4
Abstract
Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is a hybrid artificial neural network (intelligence) approach that utilizes the ability of artificial neural networks to learn, generalize, paralyze and to derive fuzzy logic. The development of models with large numbers of input variables with ANFIS is not very convenient for applications. Dimension reduction methods are proposed as a solution to this problem. Dimensional Reduction is the method used to represent the data in a lower dimensional space. The reduction of the numbers of the input variables using different size reduction methods and the creation of the optimal solution of the probing with the ANFIS model constitute the framework of this work. In this study, we compared the results produced by different dimension reduction methods and investigated which method is more acceptable for ANFIS training.
Authors and Affiliations
Ahmet Gürkan YÜKSEK, Halil ARSLAN, Oğuz KAYNAR, Emre DELİBAŞ, Abdulkadir ŞEKER
Keywords
Related Articles
- EP ID EP488466
- DOI 10.17776/csj.347653
- Views 58
- Downloads 0
Technical Aspects of the Quality Management System (QMS) for the Radiation Dosimetry Laboratory at ELI-NP Facility
The individual and environmental passive monitoring program of the Extreme Light Infrastructure - Nuclear Physics (ELI-NP) will use a combination of Optically Stimulated Luminescence (OSL) and Solid State Nuclear Track D...
Intersub-band Second Order Nonlinear Transitions in Asymmetric Double Delta-Doped GaAs Structures
In this study, second order harmonic generation (SHG) coefficient in asymmetric double delta doped wells (ADQW) were investigated for a uniform doping distribution model. The electronic properties of GaAs structure with...
Growth Temperature Dependency of High Al Content AlGaN Epilayers on AlN/Al2O3 Templates
In this work, MOVPE (Metalorganic Vapor Phase Epitaxy) growth and characterization studies of high Al content AlGaN epilayers are reported. We utilize high resolution X-ray diffraction (HRXRD) and atomic force microscope...
The Investigation of the Effects of Chlorpyrifos and 2,4-Dichlorophenoxyacetic Acid Application on Bovine Liver Catalase Activity
In this study, it was investigated whether different concentrations of organophosphate insecticide chlorpyrifos (CPF) and systemic herbicide 2,4-dichlorophenoxyacetic acid (2,4-D) on bovine liver catalase (CAT) activity...
Comparison of Spectral Classification Methods in Water Quality
Today, water quality and water pollution can be detected using remote sensing and its terrestrial components. Remote sensing does not only provide a quick solution to detect water quality and pollution, but it could also...