A Fuzzy Information Evaluation Model for Scientific Innovation of Art Talents in Colleges

Kong, Fanwen

doi:10.3991/ijet.v15i12.14529

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…Let ∆θjl=-δ∂S/∂θjl; Φl=-(dl-Pl)Pl(1-Pl) be the error. If the output error of the BPNN does not reach the preset error, the network weights need to be adjusted to reduce the mean squared error of the NN: S=1/2U∑U∑A(dul-Pul) 2 . Then, we have:…”

Section: Fig 1 Influencing Factors and Evaluation Indicesmentioning

confidence: 99%

“…With the rapid sic-tech development around the world, the competition of comprehensive national strength is essentially a contest of sci-tech power. The sci-tech development of a country needs to be promoted by sci-tech talents [1][2][3][4][5]. The quality of sci-tech talents has become the main determinant of personal destiny, and even comprehensive national strength [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Cultivation Path for Innovation Ability of Sci-Tech Talents in the Background of Big Data

Xu¹

2022

Int. J. Emerg. Technol. Learn.

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China mainly relies on higher education to cultivate sci-tech talents. The decision makers and workers of higher education face the important task of cultivating high-quality sci-tech talents that benefits the society. However, the current cultivation system for the innovation ability of high-quality sci-tech talents has some defects, and the practical experience is severely lacking for the cultivation of big data ability of high-quality sci-tech talents. Therefore, this paper explores the cultivation path for innovation ability of sci-tech talents in the background of big data. Firstly, a pre-survey was carried out on the factors affecting the innovation ability of sci-tech talents in the background of big data, an evaluation index system was established for the said ability, and the cultivation path was given for that ability. Next, the gradient boosted decision tree (GBDT) was combined with neural network (NN) into a hybrid approach, which integrates the merits of both methods. The hybrid approach was adopted to analyze and evaluate the factors affecting the innovation ability of sci-tech talents. Then, the authors further explored whether the basic ability, technology ability, and management ability of big data analysis promotes the optimization of the cultivation path for innovation ability of sci-tech talents. Through experiments, the authors obtained the regression analysis results on the innovation ability of sci-tech talents, and put forward suggestions on how to optimize the cultivation path for innovation ability of sci-tech talents.

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Section: Fig 1 Influencing Factors and Evaluation Indicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cultivation Path for Innovation Ability of Sci-Tech Talents in the Background of Big Data

Xu¹

2022

Int. J. Emerg. Technol. Learn.

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“…China has witnessed fast development in society, economy, politics, culture, and other fields in recent years, and the cultivation of senior educational talents has played a very important role in this prosperity, however, the talent cultivation and incentive mechanism is also facing great challenges [1][2][3]. Higher education is the main channel for colleges and universities to convey senior talents to the society, and it gives instructions to the interaction between the adjustment of social and economic structure and talent cultivation in a country [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Relationship Between the Cultivation and Incentive Mechanism of Senior Educational Talents

Zuo

Lü

Jia³

2021

Int. J. Emerg. Technol. Learn.

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The attraction and mobility of senior educational talents hinge on the talent cultivation and incentive mechanism of various enterprises. If the mechanism is imperfect, the talents will be less active and creative in work, and the enterprises will underperform in the long term. This paper combines literature review, questionnaire survey, and mathematical analysis to summarize the current situation of the cultivation and incentive mechanism of senior educational talents in an enterprise in a region, and analyze the defects of the existing mechanism. The results show that: the senior educational talents have not received sufficient compensations or incentive measures; the employees do not have a smooth promotion channel; the enterprise fails to issue clear and innovative reward policies. To address these defects, this paper proposes improvement measures and optimization schemes: To boost the enthusiasm and creativity of employees in work, the enterprises should give full play to the personal values of senior educational talents, strive to introduce more excellent talents, and establish a sound salary distribution system and reasonable promotion polices. The research results lay a theoretical basis for enterprises to cultivate and absorb the necessary senior educational talents.

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A Fuzzy Information Evaluation Model for Scientific Innovation of Art Talents in Colleges

Cited by 2 publications

References 16 publications

Cultivation Path for Innovation Ability of Sci-Tech Talents in the Background of Big Data

Cultivation Path for Innovation Ability of Sci-Tech Talents in the Background of Big Data

Relationship Between the Cultivation and Incentive Mechanism of Senior Educational Talents

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