<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The survival soil on which the traditional martial arts culture depends is becoming thinner and thinner. A large number of superb martial arts skills and martial arts experience disappear with the passing of the older generation of martial artists. In order to realize the information preservation of traditional Wushu, this paper puts forward the establishment and application of traditional Wushu intelligent learning resource database under the background of big data. In the context of big data, data mining technology is used to realize personalized recommended learning services, obtain the feature structure of intelligent learning system through operation, extract the average dynamic features of specific data in the resource database, obtain fuzzy constraints according to the value, determine the membership function, and adjust the membership function parameters through training fuzzy neural network, so as to gradually improve the reasoning accuracy. Finally, the matching rule set is used to filter the resource data packets to achieve the purpose of communication. In order to verify the effect of the model, compared with the traditional model, the results show that when the number of nodes is 500, the average transmission rate is as high as 90%, the average delay is 12 seconds, and the throughput performance is 91%. It can be verified that the model designed in this paper can effectively improve the propagation rate, reduce the average delay and strengthen the throughput performance.</p>
</abstract>

The survival soil on which the traditional martial arts culture depends is becoming thinner and thinner. A large number of superb martial arts skills and martial arts experience disappear with the passing of the older generation of martial artists. In order to realize the information preservation of traditional Wushu, this paper puts forward the establishment and application of traditional Wushu intelligent learning resource database under the background of big data. In the context of big data, data mining technology is used to realize personalized recommended learning services, obtain the feature structure of intelligent learning system through operation, extract the average dynamic features of specific data in the resource database, obtain fuzzy constraints according to the value, determine the membership function, and adjust the membership function parameters through training fuzzy neural network, so as to gradually improve the reasoning accuracy. Finally, the matching rule set is used to filter the resource data packets to achieve the purpose of communication. In order to verify the effect of the model, compared with the traditional model, the results show that when the number of nodes is 500, the average transmission rate is as high as 90%, the average delay is 12 seconds, and the throughput performance is 91%. It can be verified that the model designed in this paper can effectively improve the propagation rate, reduce the average delay and strengthen the throughput performance.

Establishment and application of traditional Wushu intelligent learning resource database under the background of big data

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The survival soil on which the traditional martial arts culture depends is becoming thinner and thinner. A large number of superb martial arts skills and...

Establishment and application of traditional Wushu intelligent learning resource database under the background of big data

Data publikacji: 28 kwi 2023

Zakres stron: 1369 - 1386

Otrzymano: 06 kwi 2022

Przyjęty: 15 lip 2022

DOI: https://doi.org/10.2478/amns.2023.1.00041

Słowa kluczowe
The context of big data, Traditional Wushu, Characteristic structure, Fuzzy constraint, Resource pool

© 2023 Leitao Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Establishment and application of traditional Wushu intelligent learning resource database under the background of big data

Data publikacji: 28 kwi 2023

Zakres stron: 1369 - 1386

Otrzymano: 06 kwi 2022

Przyjęty: 15 lip 2022

DOI: https://doi.org/10.2478/amns.2023.1.00041

Słowa kluczoweThe context of big data, Traditional Wushu, Characteristic structure, Fuzzy constraint, Resource pool

© 2023 Leitao Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
The context of big data, Traditional Wushu, Characteristic structure, Fuzzy constraint, Resource pool