A genetic algorithm-based feature selection. International Journal of Electronics Communication and Computer Engineering 2014; 5(4):889-905.B. Oluleye, L. Armstrong, J. Leng, D. Diepeveen, A genetic algorithm-based fea- ture selection, Int. J. Electr. Commun. Comput. Eng. 5 (4) (2014)...
Feature selection aims to reduce the dimensionality of patterns for clas-sificatory analysis by selecting the most informative rather than irrelevant and/or redundant features. In this study, a hybrid genetic algorithm for feature selection is presented
Multi-objective genetic algorithmWith the expansion of data size and data dimension, feature selection attracts more and more attention. In this paper, we propose a novel feature selection algorithm, namely, Hybrid filter and Symmetrical Complementary Coefficient based Multi-Objective Genetic Algorithm ...
This paper proposes a method of genetic algorithm (GA) based neural network for feature selection that retains sufficient information for classification purposes. This method combines a genetic algorithm with an artificial neural network classifier, such as back-propagation (BP) neural classifier, radial...
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems. To address the issues of
Khammassi and Krichen propose a GA-LR wrapper approach for feature selection in network intrusion detection [16]. They used a genetic algorithm-based packing method as a search strategy and logistic regression as a learning algorithm to select the best subset of features. Moreover, the method ef...
A genetic algorithm-based method for feature subset selection As a commonly used technique in data preprocessing, feature selection selects a subset of informative attributes or variables to build models describing da... T Feng,X Fu,Y Zhang,... - 《Soft Computing》 被引量: 152发表: 2008年 ...
Nguyen MH, Le Nguyen P, Nguyen K, Le VA, Nguyen T-H, Ji Y (2021) PM2.5 prediction using genetic algorithm-based feature selection and encoder-decoder model. IEEE Access 9:57338–57350. https://doi.org/10.1109/ACCESS.2021.3072280 Article Google Scholar Ni S, Jia P, Xu Y, Zeng L,...
Jebari K (2013) Selection methods for genetic algorithms. Abdelmalek Essaâdi University. International Journal of Emerging Sciences 3(4):333–344 Google Scholar Jiang S, Chin K-S, Wang L, Qu G, Tsui KL (2017) Modified genetic algorithm-based feature selection combined with pre-trained deep...
A genetic algorithm based wrapper feature selection method for classification of hyper spectral data using support vector maching基于GA-SVM封装算法的高光谱... The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" whe...