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Journal of Networking Technology

Evaluation of Art and Design Talents Based on the Combination of Entropy Method and BP Neural Network

Qian Fangbing
School of Art, Xiamen University Xiamen, Fujian, 361000 China

Abstract: With the development of the economy and the improvement of peopleÃ¢â‚¬â„¢s living standards, the field of art and design has gained widespread application and attention. Evaluating art and design talents is a vital link in art and design. How to objectively and accurately evaluate the comprehensive quality of art and design talents is an urgent problem to be solved. This article proposes a talent evaluation model for art and design, combining the entropy method and BP neural network. This model aims to objectively and accurately evaluate the comprehensive quality of art and design talents and provide a scientific basis for talent selection. This article first introduces the evaluation modelÃ¢â‚¬â„¢s basic principle and construction process and then elaborates on the specific implementation method of combining the entropy method with the BP neural network. Finally, the feasibility and effectiveness of the evaluation model are verified through experiments.

Keywords: BP Neural Network, Art Design Speciality, Creative Talent Evaluation of Art and Design Talents Based on the Combination of Entropy Method and BP Neural Network

DOI:https://doi.org/10.6025/jnt/2023/14/3/76-85

Full_Text PDF 643 KB Download: 58 times

References:

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[3] Bao Long Hu., Ji Ren Xu., Huai Hui Gao., Ji Hai Liu., Ke Ren Wang. (2017). Modified BP Neural Network Model is Used for Odd- Even Discrimination of Integer Number. Applied Mechanics and Materials, 2746 (423), 516.
[4] Yinzhong HAO. (2017). On the Cultivation of Art Design Values From the Perspective of Cultural Self-Confidence. Cross- Cultural Communication, 13(8), 798.
[5] Gaiyun He., Can Huang., Longzhen Guo., Guangming Sun., Dawei Zhang. (2017). Identification and Adjustment of Guide Rail Geometric Errors Based on BP Neural Network. Measurement Science Review, 17 (3), 1146.
[6] Zhou Weihong., Xiong Shunqing. (2017). Optimization of BP Neural Network Classifier Using Genetic Algorithm. Energy Procedia, 11, 569.
[7] Deqiang Zhou. (2017). A New Hybrid Grey Neural Network Based on Grey Verhulst Model and BP Neural Network for Time Series Forecasting. International Journal of Information Technology and Computer Science (IJITCS), 5(10), 4512.

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