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Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network

With the rapid development of economy, environmental problems become more and more serious, and people begin to pay attention to ecological construction. Forestry is an important industry related to the long-term survival and development of mankind. It undertakes the important tasks of forest produc...

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Detalles Bibliográficos
Autor principal: Cao, Fangning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477568/
https://www.ncbi.nlm.nih.gov/pubmed/36120680
http://dx.doi.org/10.1155/2022/9951214
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author Cao, Fangning
author_facet Cao, Fangning
author_sort Cao, Fangning
collection PubMed
description With the rapid development of economy, environmental problems become more and more serious, and people begin to pay attention to ecological construction. Forestry is an important industry related to the long-term survival and development of mankind. It undertakes the important tasks of forest product supply and ecological construction. Therefore, the quality of its development has a direct impact on all aspects of ecological economic construction. It is related to China's ecological construction and sustainable development and plays an important role in social development. The corresponding evaluation index system and evaluation model were established to deeply analyze the economic development trend of ecological forestry system. It has certain guiding significance to provide theoretical guidance for the future development direction of ecological forestry.
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spelling pubmed-94775682022-09-16 Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network Cao, Fangning Comput Intell Neurosci Research Article With the rapid development of economy, environmental problems become more and more serious, and people begin to pay attention to ecological construction. Forestry is an important industry related to the long-term survival and development of mankind. It undertakes the important tasks of forest product supply and ecological construction. Therefore, the quality of its development has a direct impact on all aspects of ecological economic construction. It is related to China's ecological construction and sustainable development and plays an important role in social development. The corresponding evaluation index system and evaluation model were established to deeply analyze the economic development trend of ecological forestry system. It has certain guiding significance to provide theoretical guidance for the future development direction of ecological forestry. Hindawi 2022-09-08 /pmc/articles/PMC9477568/ /pubmed/36120680 http://dx.doi.org/10.1155/2022/9951214 Text en Copyright © 2022 Fangning Cao. 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
Cao, Fangning
Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network
title Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network
title_full Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network
title_fullStr Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network
title_full_unstemmed Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network
title_short Construction of Prediction Model of Ecological Forestry Economic Development Trend Based on Deep Belief Network
title_sort construction of prediction model of ecological forestry economic development trend based on deep belief network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477568/
https://www.ncbi.nlm.nih.gov/pubmed/36120680
http://dx.doi.org/10.1155/2022/9951214
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