A Proposed Intelligent Features Selection Method Using Meerkat Clan Algorithm
نویسندگان
چکیده
منابع مشابه
A Novel Tracking Features Selection Method Based on Genetic Algorithm
In this paper a novel tracking feature selection method is presented. Assuming the features that best discriminate between object and background are also best for tracking the object. A two-class variance ratio is employed to measure the discriminability. Genetic algorithm is used to optimize the different features combination to generate the best tracking feature. To demonstrate our proposed m...
متن کاملelectrocardiogram based identification using a new effective intelligent selection of fused features
over the years, the feasibility of using electrocardiogram (ecg) signal for human identification issue has been investigated, andsome methods have been suggested. in this research, a new effective intelligent feature selection method from ecg signals hasbeen proposed. this method is developed in such a way that it is able to select important features that are necessary for identificationusing a...
متن کاملDetermining the effective features in classification of heart sounds using trained intelligent network and genetic algorithm
Heart diseases are among the most important causes of mortality in the world, especially in industrial countries. Using heart sounds and the features extracted from them are among the non-aggressive diagnosis and prognosis methods for heart diseases. In this study, the time-scale, Cepstral, frequency, temporal and turbulence features are saved and extracted from the heart sounds, and then they ...
متن کاملSupplier Selection Using a DEA-TOPSIS Method
Supplier selection is one of the critical activities for firms to gain competitive advantage and achieve the objectives of the whole supply chain. In this paper based on a DEA-TOPSIS method for MADM problems a flexible strategy for supplier selection is introduced
متن کاملInventory lot-sizing with supplier selection using hybrid intelligent algorithm
In supply chain management (SCM), multi-product and multi-period models are usually used to select the suppliers. In the real world of SCM, however, there are normally several echelons which need to be integrated into inventory management. This paper presents a hybrid intelligent algorithm, based on the push SCM, which uses a fuzzy neural network and a genetic algorithm to forecast the rate of ...
متن کاملذخیره 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: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1804/1/012061