Global chaotic bat algorithm for feature selection

The wrapper algorithm adopts the performance of the learning algorithm as the evaluation criteria to obtain excellent classification performance. However, the wrapper algorithm is prone to converge prematurely. A global chaotic bat algorithm (GCBA) is put up forward to improve this shortage. First,...

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Vydané v:	The Journal of supercomputing Ročník 78; číslo 17; s. 18754 - 18776
Hlavní autori:	Li, Ying, Cui, Xueting, Fan, Jiahao, Wang, Tan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.11.2022 Springer Nature B.V
Predmet:	Adaptive learning Algorithms Classification Compilers Computer Science Datasets Gene expression Interpreters Machine learning Processor Architectures Programming Languages Solution space Transfer functions Wrapper feature selection algorithm Feature selection Bat algorithm Chaotic map Classification
ISSN:	0920-8542, 1573-0484
On-line prístup:	Získať plný text
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