Innovation and Expansion of Neural System-Based Teacher Evaluation Management Mechanism in Academy DOI Creative Commons

Dongling Jin

International Journal of Interdisciplinary Telecommunications and Networking, Journal Year: 2024, Volume and Issue: 16(1), P. 1 - 16

Published: Nov. 15, 2024

The traditional evaluation mechanism of ideological education in universities faces many challenges. How to improve the quality knowledge service work university and enhance instructors' skill level effectiveness is main problem facing sustainable development higher new century. This article studies innovation expansion management for teachers based on neural system order achieve effective scientific systematic teaching methods. experimental results show that improvement rate academic performance under learning 75.12%, which 17.34% than Blended Open Learning(BOP) Therefore, using higher. targets different groups responsible university-level teaching, thereby greatly improving college students.

Language: Английский

Methods and reliability study of moral education assessment in universities: A machine learning-based approach DOI
Ting Jin

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 125, P. 20 - 28

Published: April 14, 2025

Language: Английский

Citations

0
Adaptive control for memristive system via compensatory controller and Chebyshev neural network DOI Creative Commons

Shaofu Wang

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: June 9, 2024

In this paper, based on linear matrix inequality technique, a simple controller and compensatory are designed. It can track arbitrary fixed points any periodic orbits. addition, synchronization control method via Chebyshev neural network with external disturbances is proposed. An adaptive given. The used to approximate the uncertain nonlinear function law adjust corresponding parameters in system. Taking 4D memristive chaotic system as examples, results consistent simulations. From framework theoretical point of view, proposed approach compensation firstly presented. an application scheme simplify complexity design. promising many applications for mem-systems secure communications networks.

Language: Английский

Citations

1
Innovation and Expansion of Neural System-Based Teacher Evaluation Management Mechanism in Academy DOI Creative Commons

Dongling Jin

International Journal of Interdisciplinary Telecommunications and Networking, Journal Year: 2024, Volume and Issue: 16(1), P. 1 - 16

Published: Nov. 15, 2024

The traditional evaluation mechanism of ideological education in universities faces many challenges. How to improve the quality knowledge service work university and enhance instructors' skill level effectiveness is main problem facing sustainable development higher new century. This article studies innovation expansion management for teachers based on neural system order achieve effective scientific systematic teaching methods. experimental results show that improvement rate academic performance under learning 75.12%, which 17.34% than Blended Open Learning(BOP) Therefore, using higher. targets different groups responsible university-level teaching, thereby greatly improving college students.

Language: Английский

Citations

0