Grasshopper Optimization Algorithm with Crossover Operators for Feature Selection and Solving Engineering Problems

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Grasshopper Optimization Algorithm with Crossover Operators for Feature Selection and Solving Engineering Problems

Feature selection (FS) is an irreplaceable phase that makes data mining more efficient. It effectively enhances the implementation and decreases the computational problem of learning models. The comprehensive and greedy algorithms are not suitable for the present growing number of features when dete...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	IEEE Access
المؤلف الرئيسي:	2-s2.0-85125331226
التنسيق:	مقال
اللغة:	English
منشور في:	Institute of Electrical and Electronics Engineers Inc. 2022
الوصول للمادة أونلاين:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125331226&doi=10.1109%2fACCESS.2022.3153038&partnerID=40&md5=384f2b8910e5d109c1a4785423aea347

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