A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis
In this paper, we use variable prediction to assess mental health using a spurious nearest neighbor point algorithm to reconstruct mental trajectories, extract group feature vectors and map them into a high-dimensional spatial structure. The standard deviation of Gaussian function centroids is deriv...
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Format: | Article |
Language: | English |
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Sciendo
2024-01-01
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Series: | Applied Mathematics and Nonlinear Sciences |
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Online Access: | https://doi.org/10.2478/amns.2023.2.00562 |
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author | Zhang Bo |
author_facet | Zhang Bo |
author_sort | Zhang Bo |
collection | DOAJ |
description | In this paper, we use variable prediction to assess mental health using a spurious nearest neighbor point algorithm to reconstruct mental trajectories, extract group feature vectors and map them into a high-dimensional spatial structure. The standard deviation of Gaussian function centroids is derived by combining the radial basis network input implicit layer node parameters. The hierarchical analysis method was used to split the psychological data, and the Lagrange multiplier method was used to reconstruct the psychological space, and it was found that the overall work stress index of women was 78.97 points, and there was no significant difference in the factors of the symptom self-rating scale. It is suggested that enterprises should offer psychological counseling courses, equip professional psychological counselors, scientifically guide employees’ psychological states, and create a gender-equal corporate culture atmosphere. |
first_indexed | 2024-03-08T10:07:26Z |
format | Article |
id | doaj.art-1ba60b6c5dfc4305851f966de8a335f8 |
institution | Directory Open Access Journal |
issn | 2444-8656 |
language | English |
last_indexed | 2024-03-08T10:07:26Z |
publishDate | 2024-01-01 |
publisher | Sciendo |
record_format | Article |
series | Applied Mathematics and Nonlinear Sciences |
spelling | doaj.art-1ba60b6c5dfc4305851f966de8a335f82024-01-29T08:52:34ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00562A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysisZhang Bo01School of Management, Department of Business Administration, Hubei Business College, Wuhan, Hubei, 430000, China.In this paper, we use variable prediction to assess mental health using a spurious nearest neighbor point algorithm to reconstruct mental trajectories, extract group feature vectors and map them into a high-dimensional spatial structure. The standard deviation of Gaussian function centroids is derived by combining the radial basis network input implicit layer node parameters. The hierarchical analysis method was used to split the psychological data, and the Lagrange multiplier method was used to reconstruct the psychological space, and it was found that the overall work stress index of women was 78.97 points, and there was no significant difference in the factors of the symptom self-rating scale. It is suggested that enterprises should offer psychological counseling courses, equip professional psychological counselors, scientifically guide employees’ psychological states, and create a gender-equal corporate culture atmosphere.https://doi.org/10.2478/amns.2023.2.00562variable prediction evaluationfalse nearest neighborhierarchical analysisgaussian functionlagrange multiplier97m80 |
spellingShingle | Zhang Bo A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis Applied Mathematics and Nonlinear Sciences variable prediction evaluation false nearest neighbor hierarchical analysis gaussian function lagrange multiplier 97m80 |
title | A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis |
title_full | A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis |
title_fullStr | A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis |
title_full_unstemmed | A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis |
title_short | A study on the psychological relief path of gender stress in women's workplace based on hierarchical analysis |
title_sort | study on the psychological relief path of gender stress in women s workplace based on hierarchical analysis |
topic | variable prediction evaluation false nearest neighbor hierarchical analysis gaussian function lagrange multiplier 97m80 |
url | https://doi.org/10.2478/amns.2023.2.00562 |
work_keys_str_mv | AT zhangbo astudyonthepsychologicalreliefpathofgenderstressinwomensworkplacebasedonhierarchicalanalysis AT zhangbo studyonthepsychologicalreliefpathofgenderstressinwomensworkplacebasedonhierarchicalanalysis |