An Artificial Bee Colony Based Algorithm for Feature Selection

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data feature selection based on Artificial Bee Colony algorithm

Classification of data in large repositories requires efficient techniques for analysis since a large amount of features is created for better representation of such images. Optimization methods can be used in the process of feature selection to determine the most relevant subset of features from the data set while maintaining adequate accuracy rate represented by the original set of features. ...

متن کامل

Elite Opposition-based Artificial Bee Colony Algorithm for Global Optimization

 Numerous problems in engineering and science can be converted into optimization problems. Artificial bee colony (ABC) algorithm is a newly developed stochastic optimization algorithm and has been widely used in many areas. However, due to the stochastic characteristics of its solution search equation, the traditional ABC algorithm often suffers from poor exploitation. Aiming at this weakness o...

متن کامل

An Improved Image Steganalysis Using a Novel Feature Selection Algorithm Based on Artificial Bee Colony

One of the most important phases of pre-processing is Feature selection, which can improve the predictive accuracy of steganalysis. In this study, we have presented a novel feature selection-based method to image steganalysis for detecting stego images from cover images based on artificial bee colony (ISBC). The experiments show that the proposed method is easy to be employed for steganalysis p...

متن کامل

An Artificial Bee Colony Algorithm for Uncertain Portfolio Selection

Portfolio selection is an important issue for researchers and practitioners. In this paper, under the assumption that security returns are given by experts' evaluations rather than historical data, we discuss the portfolio adjusting problem which takes transaction costs and diversification degree of portfolio into consideration. Uncertain variables are employed to describe the security returns....

متن کامل

A Novel Discrete Artificial Bee Colony Algorithm for Rough Set-based Feature Selection

Feature selection plays an important role in the fields of pattern recognition, data mining and machine learning. Rough set method is one of effective methods for feature selection, which can preserve the meaning of the features. Presently ant colony optimization (ACO) has been successfully applied to rough set-based feature selection, however, it has the limitations of many control parameters,...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

سال: 2015

ISSN: 1019-1011

DOI: 10.21605/cukurovaummfd.242789