Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320149932> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W4320149932 endingPage "231" @default.
- W4320149932 startingPage "215" @default.
- W4320149932 abstract "This paper focuses on a two-layer approach to genetic programming algorithm and the improvement of the training process using ensemble learning. Inspired by the performance leap of deep neural networks, the idea of a multilayered approach to genetic programming is proposed to start with two-layered genetic programming. The goal of the paper was to design and implement a twolayer genetic programming algorithm, test its behaviour in the context of symbolic regression on several basic test cases, to reveal the potential to improve the learning process of genetic programming and increase the accuracy of the resulting models. The algorithm works in two layers. In the first layer, it searches for appropriate sub-models describing each segment of the data. In the second layer, it searches for the final model as a non-linear combination of these sub-models. Two-layer genetic programming coupled with ensemble learning techniques on the experiments performed showed the potential for improving the performance of genetic programming." @default.
- W4320149932 created "2023-02-13" @default.
- W4320149932 creator A5004704615 @default.
- W4320149932 creator A5016336098 @default.
- W4320149932 date "2022-01-01" @default.
- W4320149932 modified "2023-09-27" @default.
- W4320149932 title "Two-layer genetic programming" @default.
- W4320149932 doi "https://doi.org/10.14311/nnw.2022.27.013" @default.
- W4320149932 hasPublicationYear "2022" @default.
- W4320149932 type Work @default.
- W4320149932 citedByCount "0" @default.
- W4320149932 crossrefType "journal-article" @default.
- W4320149932 hasAuthorship W4320149932A5004704615 @default.
- W4320149932 hasAuthorship W4320149932A5016336098 @default.
- W4320149932 hasConcept C110332635 @default.
- W4320149932 hasConcept C119857082 @default.
- W4320149932 hasConcept C151730666 @default.
- W4320149932 hasConcept C154945302 @default.
- W4320149932 hasConcept C178790620 @default.
- W4320149932 hasConcept C185592680 @default.
- W4320149932 hasConcept C199360897 @default.
- W4320149932 hasConcept C2776400721 @default.
- W4320149932 hasConcept C2779227376 @default.
- W4320149932 hasConcept C2779343474 @default.
- W4320149932 hasConcept C41008148 @default.
- W4320149932 hasConcept C50644808 @default.
- W4320149932 hasConcept C6135463 @default.
- W4320149932 hasConcept C86803240 @default.
- W4320149932 hasConcept C8880873 @default.
- W4320149932 hasConcept C98045186 @default.
- W4320149932 hasConceptScore W4320149932C110332635 @default.
- W4320149932 hasConceptScore W4320149932C119857082 @default.
- W4320149932 hasConceptScore W4320149932C151730666 @default.
- W4320149932 hasConceptScore W4320149932C154945302 @default.
- W4320149932 hasConceptScore W4320149932C178790620 @default.
- W4320149932 hasConceptScore W4320149932C185592680 @default.
- W4320149932 hasConceptScore W4320149932C199360897 @default.
- W4320149932 hasConceptScore W4320149932C2776400721 @default.
- W4320149932 hasConceptScore W4320149932C2779227376 @default.
- W4320149932 hasConceptScore W4320149932C2779343474 @default.
- W4320149932 hasConceptScore W4320149932C41008148 @default.
- W4320149932 hasConceptScore W4320149932C50644808 @default.
- W4320149932 hasConceptScore W4320149932C6135463 @default.
- W4320149932 hasConceptScore W4320149932C86803240 @default.
- W4320149932 hasConceptScore W4320149932C8880873 @default.
- W4320149932 hasConceptScore W4320149932C98045186 @default.
- W4320149932 hasIssue "4" @default.
- W4320149932 hasLocation W43201499321 @default.
- W4320149932 hasOpenAccess W4320149932 @default.
- W4320149932 hasPrimaryLocation W43201499321 @default.
- W4320149932 hasRelatedWork W1501188767 @default.
- W4320149932 hasRelatedWork W201659765 @default.
- W4320149932 hasRelatedWork W2067195218 @default.
- W4320149932 hasRelatedWork W2170365502 @default.
- W4320149932 hasRelatedWork W2374095020 @default.
- W4320149932 hasRelatedWork W2977089467 @default.
- W4320149932 hasRelatedWork W3006921505 @default.
- W4320149932 hasRelatedWork W4312702461 @default.
- W4320149932 hasRelatedWork W4319341367 @default.
- W4320149932 hasRelatedWork W1629725936 @default.
- W4320149932 hasVolume "32" @default.
- W4320149932 isParatext "false" @default.
- W4320149932 isRetracted "false" @default.
- W4320149932 workType "article" @default.