抄録
<jats:title>Abstract</jats:title><jats:p>Genetic algorithms have been created as an optimization strategy to be used especially when complex response surfaces do not allow the use of better‐known methods (simplex, experimental design techniques, etc.). This paper shows that these algorithms, conveniently modified, can also be a valuable tool in solving the feature selection problem. The subsets of variables selected by genetic algorithms are generally more efficient than those obtained by classical methods of feature selection, since they can produce a better result by using a lower number of features.</jats:p>
収録刊行物
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- Journal of Chemometrics
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Journal of Chemometrics 6 (5), 267-281, 1992-09
Wiley
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詳細情報 詳細情報について
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- CRID
- 1360574093616753024
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- NII論文ID
- 80006766376
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- ISSN
- 1099128X
- 08869383
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- データソース種別
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- CiNii Articles