Zobrazeno 1 - 10
of 137
pro vyhledávání: '"population: forecasting model"'
Akademický článek
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Autor:
Dandan Zhu, Kai Jiang
Publikováno v:
Proceedings of the 2018 International Conference on Computing and Data Engineering.
The "two-child" policy has been implemented in China since 2016, and it was an important fertility policy adjustment made by the government, which would have an significant impact on the future population structure of China. This research studies the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d5fea95f25eed10128a716775afb81d
https://doi.org/10.1145/3219788.3219795
https://doi.org/10.1145/3219788.3219795
Autor:
Suk-Ho Han
Publikováno v:
Journal of the Korea Academia-Industrial cooperation Society. 16:3797-3806
A population decline in rural area is correlated with the number of household, with agricultural workers,as a result, affects the farming income. Agricultural population is a foundation of agriculture structure. Agricultural population decline influe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73a72344bf526fdc84e2a17a6dc3214
https://doi.org/10.5762/kais.2015.16.6.3797
https://doi.org/10.5762/kais.2015.16.6.3797
Autor:
Wei Ping Wang, Chun Miao Huang
Publikováno v:
Advanced Materials Research. :664-667
This article gets thepopulation data based on China Population Statistics Yearbook ,and establishes a model for forecasting thegrowth of population grouped by ages. First, a difference equation model invector form is established for urban area, town
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54540946d2ab8f16537539da206aad26
https://doi.org/10.4028/www.scientific.net/amr.1079-1080.664
https://doi.org/10.4028/www.scientific.net/amr.1079-1080.664
Conference
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Akademický článek
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Publikováno v:
Environmental entomology. 39(6)
Nilaparvata lugens (Stal) and Sogatella furcifera (Horvath) are the two most important long-distance migratory insect pests that cause great yield losses to rice in China. Accurate long-term population forecast is needed to implement effective manage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9241550d5c0d5a0810f3c0e2ff60ddd8
https://pubmed.ncbi.nlm.nih.gov/22182537
https://pubmed.ncbi.nlm.nih.gov/22182537
Publikováno v:
Communications in Computer and Information Science ISBN: 9783540742814
ICIC (3)
ICIC (3)
A new population forecasting model based on wavelet least squares support vector machines (WLS-SVM) was proposed in this paper. Support vector machines (SVM) is a new kind of neural networks based on statistical learning theory, which is a powerful t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b013ac7f99d8ebb5f0f238e6732f1c7d
https://doi.org/10.1007/978-3-540-74282-1_131
https://doi.org/10.1007/978-3-540-74282-1_131
Autor:
Huang, Chun Miao, Wang, Wei Ping
Publikováno v:
Advanced Materials Research; December 2014, Vol. 1079 Issue: 1 p664-667, 4p
Autor:
Pruethsan Sutthichaimethee
Publikováno v:
Journal of Ecological Engineering, Vol 18, Iss 3, Pp 112-117 (2017)
This study aims to analyze the forecasting of CO2 emission from the energy consumption in the Rubber, Chemical and Petroleum Industries sectors in Thailand. The scope of research employed the input-output table of Thailand from the year 2000 to 2015.
Externí odkaz:
https://doaj.org/article/14377d6c96a74145b42fde3405d419e4