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Application of Rough Ant Colony Algorithm in Adolescent Psychology
With the rapid development of big data, big data research in the security protection industry has been increasingly regarded as a hot spot. This article mainly aims at solving the problem of predicting the tendency of juvenile delinquency based on the experimental data of juvenile blindly following...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822700/ https://www.ncbi.nlm.nih.gov/pubmed/33510776 http://dx.doi.org/10.1155/2021/6636150 |
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author | Cong, Tao Jiang, Lin Sun, Qihang Li, Yang |
author_facet | Cong, Tao Jiang, Lin Sun, Qihang Li, Yang |
author_sort | Cong, Tao |
collection | PubMed |
description | With the rapid development of big data, big data research in the security protection industry has been increasingly regarded as a hot spot. This article mainly aims at solving the problem of predicting the tendency of juvenile delinquency based on the experimental data of juvenile blindly following psychological crime. To solve this problem, this paper proposes a rough ant colony classification algorithm, referred to as RoughAC, which first uses the concept of upper and lower approximate sets in rough sets to determine the degree of membership. In addition, in the ant colony algorithm, we use the membership value to update the pheromone. Experiments show that the algorithm can not only solve the premature convergence problem caused by stagnation near the local optimal solution but also solve the continuous domain and combinatorial optimization problems and achieve better classification results. Moreover, the algorithm has a good effect on predicting classification and can provide guidance for predicting the tendency of juvenile delinquency. |
format | Online Article Text |
id | pubmed-7822700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-78227002021-01-27 Application of Rough Ant Colony Algorithm in Adolescent Psychology Cong, Tao Jiang, Lin Sun, Qihang Li, Yang Comput Intell Neurosci Research Article With the rapid development of big data, big data research in the security protection industry has been increasingly regarded as a hot spot. This article mainly aims at solving the problem of predicting the tendency of juvenile delinquency based on the experimental data of juvenile blindly following psychological crime. To solve this problem, this paper proposes a rough ant colony classification algorithm, referred to as RoughAC, which first uses the concept of upper and lower approximate sets in rough sets to determine the degree of membership. In addition, in the ant colony algorithm, we use the membership value to update the pheromone. Experiments show that the algorithm can not only solve the premature convergence problem caused by stagnation near the local optimal solution but also solve the continuous domain and combinatorial optimization problems and achieve better classification results. Moreover, the algorithm has a good effect on predicting classification and can provide guidance for predicting the tendency of juvenile delinquency. Hindawi 2021-01-14 /pmc/articles/PMC7822700/ /pubmed/33510776 http://dx.doi.org/10.1155/2021/6636150 Text en Copyright © 2021 Tao Cong et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Cong, Tao Jiang, Lin Sun, Qihang Li, Yang Application of Rough Ant Colony Algorithm in Adolescent Psychology |
title | Application of Rough Ant Colony Algorithm in Adolescent Psychology |
title_full | Application of Rough Ant Colony Algorithm in Adolescent Psychology |
title_fullStr | Application of Rough Ant Colony Algorithm in Adolescent Psychology |
title_full_unstemmed | Application of Rough Ant Colony Algorithm in Adolescent Psychology |
title_short | Application of Rough Ant Colony Algorithm in Adolescent Psychology |
title_sort | application of rough ant colony algorithm in adolescent psychology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7822700/ https://www.ncbi.nlm.nih.gov/pubmed/33510776 http://dx.doi.org/10.1155/2021/6636150 |
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