Cargando…

Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network

Mining and utilizing cultural heritage resources and creating and developing creative and cultural industries have become the priority direction of economic development, setting off a wave of cultural heritage resource development, and industrial transformation. Which cultural heritage resources can...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Xinyu, Li, Yujie, Zhang, Zihao, Wang, Qianzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512614/
https://www.ncbi.nlm.nih.gov/pubmed/36172326
http://dx.doi.org/10.1155/2022/2288358
_version_ 1784797869596737536
author Liu, Xinyu
Li, Yujie
Zhang, Zihao
Wang, Qianzheng
author_facet Liu, Xinyu
Li, Yujie
Zhang, Zihao
Wang, Qianzheng
author_sort Liu, Xinyu
collection PubMed
description Mining and utilizing cultural heritage resources and creating and developing creative and cultural industries have become the priority direction of economic development, setting off a wave of cultural heritage resource development, and industrial transformation. Which cultural heritage resources can have the high value of industrial transformation has become one of the research topics that have attracted much attention. In view of this problem, research is of great significance to the development of cultural heritage resources and the field of industrial transformation. With the in-depth research on resource development and industrial transformation, the research on artificial neural network (ANN) in cultural industry transformation is gradually carried out, and its performance advantages are of great significance to solve the problem of value evaluation. This paper aims to study the application of the value assessment method based on the BP neural network (BPNN) in the development of cultural heritage resources and industrial transformation. Through the analysis and research of BPNN and cultural heritage resource development and industrial transformation, it can be applied to the construction of resource value assessment methods to solve the problem of improving the value level of cultural heritage resource development and industry. This paper analyzes BPNN, cultural heritage, and value evaluation methods, conducts experimental analysis on the performance of the algorithm, and uses related theoretical formulas to explain. The results show that the evaluation method has passed the random consistency test, and the results are valid. The obtained index popularity weight value is 0.134, the economic benefit weight value is 0.093, and the resource correlation degree weight value is 0.074, which can be used as the key criteria for resource value evaluation. The classification of resources through resource value assessment can provide theoretical support for the development and industrialization of cultural heritage and can meet the needs of improving the value and quality of cultural heritage development and industrial transformation, and the development level and satisfaction have been greatly improved.
format Online
Article
Text
id pubmed-9512614
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-95126142022-09-27 Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network Liu, Xinyu Li, Yujie Zhang, Zihao Wang, Qianzheng Comput Intell Neurosci Research Article Mining and utilizing cultural heritage resources and creating and developing creative and cultural industries have become the priority direction of economic development, setting off a wave of cultural heritage resource development, and industrial transformation. Which cultural heritage resources can have the high value of industrial transformation has become one of the research topics that have attracted much attention. In view of this problem, research is of great significance to the development of cultural heritage resources and the field of industrial transformation. With the in-depth research on resource development and industrial transformation, the research on artificial neural network (ANN) in cultural industry transformation is gradually carried out, and its performance advantages are of great significance to solve the problem of value evaluation. This paper aims to study the application of the value assessment method based on the BP neural network (BPNN) in the development of cultural heritage resources and industrial transformation. Through the analysis and research of BPNN and cultural heritage resource development and industrial transformation, it can be applied to the construction of resource value assessment methods to solve the problem of improving the value level of cultural heritage resource development and industry. This paper analyzes BPNN, cultural heritage, and value evaluation methods, conducts experimental analysis on the performance of the algorithm, and uses related theoretical formulas to explain. The results show that the evaluation method has passed the random consistency test, and the results are valid. The obtained index popularity weight value is 0.134, the economic benefit weight value is 0.093, and the resource correlation degree weight value is 0.074, which can be used as the key criteria for resource value evaluation. The classification of resources through resource value assessment can provide theoretical support for the development and industrialization of cultural heritage and can meet the needs of improving the value and quality of cultural heritage development and industrial transformation, and the development level and satisfaction have been greatly improved. Hindawi 2022-09-19 /pmc/articles/PMC9512614/ /pubmed/36172326 http://dx.doi.org/10.1155/2022/2288358 Text en Copyright © 2022 Xinyu Liu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu, Xinyu
Li, Yujie
Zhang, Zihao
Wang, Qianzheng
Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network
title Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network
title_full Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network
title_fullStr Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network
title_full_unstemmed Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network
title_short Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network
title_sort cultural heritage resource development and industrial transformation resource value assessment based on bp neural network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512614/
https://www.ncbi.nlm.nih.gov/pubmed/36172326
http://dx.doi.org/10.1155/2022/2288358
work_keys_str_mv AT liuxinyu culturalheritageresourcedevelopmentandindustrialtransformationresourcevalueassessmentbasedonbpneuralnetwork
AT liyujie culturalheritageresourcedevelopmentandindustrialtransformationresourcevalueassessmentbasedonbpneuralnetwork
AT zhangzihao culturalheritageresourcedevelopmentandindustrialtransformationresourcevalueassessmentbasedonbpneuralnetwork
AT wangqianzheng culturalheritageresourcedevelopmentandindustrialtransformationresourcevalueassessmentbasedonbpneuralnetwork