2022
DOI: 10.1016/j.swevo.2021.101005
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Coverage path planning of heterogeneous unmanned aerial vehicles based on ant colony system

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Cited by 135 publications
(76 citation statements)
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“…is paper implements intelligent control on dance teaching using BPNN algorithm [3] and artificial intelligence technology [4][5][6], which can control multiple parameters without repeatability and with a wide change range in response to changes in the external environment and resolve challenging nonlinear control issues [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…is paper implements intelligent control on dance teaching using BPNN algorithm [3] and artificial intelligence technology [4][5][6], which can control multiple parameters without repeatability and with a wide change range in response to changes in the external environment and resolve challenging nonlinear control issues [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…With the growing use of data mining (DM) technology in the education sector, educators are now required to categorise various research objects, create research models for each type, gather a variety of user data, and then use a variety of algorithms, relational graph models, or music course resource classifiers to create a music expert system based on big data [ 6 , 7 ]. The expressive singing technique used in solfeggio can help students better understand music and increase their desire to express it.…”
Section: Introductionmentioning
confidence: 99%
“…The main issue with spatial cluster analysis with obstacle constraints is calculating the obstacle distance. A path planning method based on the improved ant colony algorithm is proposed [ 6 , 7 ] in an effort to address the issues that the path planning method based on the basic ant colony algorithm takes a long time to calculate and is easy to fall into local optimization. First, the environment is divided using the grid method.…”
Section: Introductionmentioning
confidence: 99%