Evaluation scheme design of college information construction based on a combined algorithm
By controlling the benefits and drawbacks of informatization construction (IC) and development, evaluating the level of education informatization (EI) development can aid in university administration and decision-making. This work develops an evaluation method for the University Information Construc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2023-05-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-1327.pdf |
| _version_ | 1797815087509012480 |
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| author | Caiyou Shen Yingjuan Shi Jing Fang |
| author_facet | Caiyou Shen Yingjuan Shi Jing Fang |
| author_sort | Caiyou Shen |
| collection | DOAJ |
| description | By controlling the benefits and drawbacks of informatization construction (IC) and development, evaluating the level of education informatization (EI) development can aid in university administration and decision-making. This work develops an evaluation method for the University Information Construction (UIC) based on the Analytical Hierarchy Process (AHP) and the Particle Swarm Optimization-based back-Propagation Neural Network (PSO-BPNN) algorithm to address the fuzziness issue in grade evaluation in the IC. Firstly, a set of data-driven evaluation index systems of the UIC effect is constructed with 16 second-class indicators and four first-class indicators of infrastructure, resource management, information management, and safeguard measures. The AHP method is used to determine the weight of the first-class indicators of the IC model. Secondly, from two perspectives of inertia weight and learning factor, the PSO-BPNN algorithm is designed to fit and analyze the level of UIC. The experimental findings demonstrate that the proposed model’s training impact is better, reflecting UIC’s effectiveness more accurately. |
| first_indexed | 2024-03-13T08:16:24Z |
| format | Article |
| id | doaj.art-34835b1f30d644f591965a9b8abccd19 |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-03-13T08:16:24Z |
| publishDate | 2023-05-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-34835b1f30d644f591965a9b8abccd192023-05-31T15:05:05ZengPeerJ Inc.PeerJ Computer Science2376-59922023-05-019e132710.7717/peerj-cs.1327Evaluation scheme design of college information construction based on a combined algorithmCaiyou Shen0Yingjuan Shi1Jing Fang2Institute of Cyberspace Security, Jinhua Advanced Research Institute, Jinhua, Zhejiang, ChinaInstitute of Cyberspace Security, Jinhua Advanced Research Institute, Jinhua, Zhejiang, ChinaDepartment of Office, Jinhua Advanced Research Institut, Jinhua, Zhejiang, ChinaBy controlling the benefits and drawbacks of informatization construction (IC) and development, evaluating the level of education informatization (EI) development can aid in university administration and decision-making. This work develops an evaluation method for the University Information Construction (UIC) based on the Analytical Hierarchy Process (AHP) and the Particle Swarm Optimization-based back-Propagation Neural Network (PSO-BPNN) algorithm to address the fuzziness issue in grade evaluation in the IC. Firstly, a set of data-driven evaluation index systems of the UIC effect is constructed with 16 second-class indicators and four first-class indicators of infrastructure, resource management, information management, and safeguard measures. The AHP method is used to determine the weight of the first-class indicators of the IC model. Secondly, from two perspectives of inertia weight and learning factor, the PSO-BPNN algorithm is designed to fit and analyze the level of UIC. The experimental findings demonstrate that the proposed model’s training impact is better, reflecting UIC’s effectiveness more accurately.https://peerj.com/articles/cs-1327.pdfInformatization constructionAHPPSO-BP |
| spellingShingle | Caiyou Shen Yingjuan Shi Jing Fang Evaluation scheme design of college information construction based on a combined algorithm PeerJ Computer Science Informatization construction AHP PSO-BP |
| title | Evaluation scheme design of college information construction based on a combined algorithm |
| title_full | Evaluation scheme design of college information construction based on a combined algorithm |
| title_fullStr | Evaluation scheme design of college information construction based on a combined algorithm |
| title_full_unstemmed | Evaluation scheme design of college information construction based on a combined algorithm |
| title_short | Evaluation scheme design of college information construction based on a combined algorithm |
| title_sort | evaluation scheme design of college information construction based on a combined algorithm |
| topic | Informatization construction AHP PSO-BP |
| url | https://peerj.com/articles/cs-1327.pdf |
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