Research on the Applied Talents Training of Radio and Television Directing Major Under the Employment Orientation

Qu, Qinghong; Jiang, Chunxu; Gao, Feng

doi:10.2991/icemaess-17.2017.81

Cited by 1 publication

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“…The development of radio and television specialty in China needs more radio and television professionals, and the requirements for talents' skills and quality are also improved. With the rapid development of new media, the demand for applied talents of radio and television director specialty is gradually increasing [ 2 ]. A new discrete particle swarm optimization method is proposed to induce rules from discrete data.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Diversified Radio and Television Data Based on Adaptive Least Squares Support Vector Machine

Liu

Cang

2022

Computational Intelligence and Neuroscience

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Under the current big data background, the training mode of radio and television director technology is obsolete, and the technical means do not meet the needs of modern development. In this article, a self-adaptive multivariate data statistical model of radio and television directors based on the least squares support vector machine is proposed, which combines the students’ views with the diversified teaching methods and teaching contents needed by university teachers in the process of vocational education and television education. This article applies the technology integration degree measurement, market integration degree measurement, business integration degree measurement, and integration degree comprehensive analysis to analyze the data of major video websites and major radio and television media. It is found that the market share of major radio and television media is increasing, and the number of broadcasts of major video online stores is also excellent.

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Section: Introductionmentioning

confidence: 99%