Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Zongli Dai"'
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0192366 (2018)
In this paper, we propose a hybrid method to forecast the stock prices called High-order-fuzzy-fluctuation-Trends-based Back Propagation(HTBP)Neural Network model. First, we compare each value of the historical training data with the previous day's v
Externí odkaz:
https://doaj.org/article/5330df8ade854d31b09313192f0bb4bc
Publikováno v:
Entropy, Vol 21, Iss 5, p 455 (2019)
In time series forecasting, information presentation directly affects prediction efficiency. Most existing time series forecasting models follow logical rules according to the relationships between neighboring states, without considering the inconsis
Externí odkaz:
https://doaj.org/article/d61486d645894bd6b4a9babed089f89b
Publikováno v:
Entropy, Vol 20, Iss 9, p 669 (2018)
Most existing high-order prediction models abstract logical rules that are based on historical discrete states without considering historical inconsistency and fluctuation trends. In fact, these two characteristics are important for describing histor
Externí odkaz:
https://doaj.org/article/a1640a982b6148ca86809ba0252f9fa1
Publikováno v:
Symmetry, Vol 10, Iss 7, p 245 (2018)
Making predictions according to historical values has long been regarded as common practice by many researchers. However, forecasting solely based on historical values could lead to inevitable over-complexity and uncertainty due to the uncertainties
Externí odkaz:
https://doaj.org/article/e4166a07c8594fe3a13669fb13829d8b
Autor:
Zongli Dai1, Jian-Jun Wang1 drwangjj@dlut.edu.cn
Publikováno v:
Journal of the Operational Research Society. 2024, Vol. 75 Issue 4, p660-672. 13p.
Publikováno v:
Annals of Operations Research. 321:565-588
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f89fc12e07f36794ebb7be546b90d260
https://doi.org/10.1007/s10479-022-04870-6
https://doi.org/10.1007/s10479-022-04870-6
Publikováno v:
Decision Sciences.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b8433d3cc8d2d6d0ce1d87507de439c
https://doi.org/10.1111/deci.12584
https://doi.org/10.1111/deci.12584
Publikováno v:
Annals of operations research. 315(1)
Operating Room (OR) management has been among the mainstream of hospital management research, as ORs are commonly considered as one of the most critical and expensive resources. The complicated connection and interplay between ORs and their upstream
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5478c6a582d67df59501982d1894499a
https://pubmed.ncbi.nlm.nih.gov/35340826
https://pubmed.ncbi.nlm.nih.gov/35340826
Publikováno v:
Computersindustrial engineering. 169
During the COVID-19 period, randomly arrived patients flooded into the hospital, which caused staffing beds to be occupied. Then, elective surgeries could not be carried out timely. It not only affects the health of patients but also affects hospital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77405d1c31305e485abf5c94d4f1fb13
https://pubmed.ncbi.nlm.nih.gov/35529173
https://pubmed.ncbi.nlm.nih.gov/35529173
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 35:257-267
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5a33b0ec619bccc478a1fce36b7275
https://doi.org/10.3233/jifs-169585
https://doi.org/10.3233/jifs-169585