A Novel Mutual Fractional Grey Bernoulli Model With Differential Evolution Algorithm and Its Application in Education Investment Forecasting in China Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.2995974
Nowadays, the nonlinear grey Bernoulli model [NGBM(1,1)] has been successfully applied to various fields. Its main advantage is that the power exponent can better reflect the non-linear characteristics of the original data. However, the parameters of the model (i.e., the order of accumulation, coefficient of background value, and power index) must be optimized to fit the development law of the system. In this study, a fractional non-linear grey Bernoulli model [MFNGBM (1,1)] is proposed to reduce the perturbation limit of the classical NGBM and further improve the accuracy of the model, which uses mutual fractional operators and a new optimization scheme with a differential evolution (DE) algorithm for forecasting education investment. In the scheme, the power exponent of the Bernoulli differential equation, coefficient of background, and cumulative order of the original sequence are taken as decision variables, and their optimal parameters obtained by iteratively adjusting fitness functions. The experimental evaluation is conducted on two types of open-source data, and the results show that the proposed method can be very competitive with the popular baselines. Finally, MFNGBM(1,1) is used to predict China's education investment in 2020-2025.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2020.2995974
- https://ieeexplore.ieee.org/ielx7/6287639/8948470/09097287.pdf
- OA Status
- gold
- Cited By
- 10
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3027801531
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3027801531Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2020.2995974Digital Object Identifier
- Title
-
A Novel Mutual Fractional Grey Bernoulli Model With Differential Evolution Algorithm and Its Application in Education Investment Forecasting in ChinaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Wanli Xie, Bin Pu, Chunying Pei, Shin‐Jye Lee, Yan KangList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2020.2995974Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/6287639/8948470/09097287.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/8948470/09097287.pdfDirect OA link when available
- Concepts
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Bernoulli's principle, Exponent, Mathematics, Nonlinear system, Mathematical optimization, Applied mathematics, Algorithm, Computer science, Engineering, Philosophy, Aerospace engineering, Quantum mechanics, Physics, LinguisticsTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 2, 2023: 1, 2022: 1, 2021: 5Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W6742927477, https://openalex.org/W2384793743, https://openalex.org/W1595159159, https://openalex.org/W1903685618, https://openalex.org/W2792862242, https://openalex.org/W1992665910, https://openalex.org/W2087120645, https://openalex.org/W2947852250, https://openalex.org/W3000669063, https://openalex.org/W2067514909, https://openalex.org/W3003371156, https://openalex.org/W2613280150, https://openalex.org/W2790343203, https://openalex.org/W2806220373, https://openalex.org/W2974181587, https://openalex.org/W2739690896, https://openalex.org/W2572487386, https://openalex.org/W2606986811, https://openalex.org/W2755953898, https://openalex.org/W2792189404, https://openalex.org/W2432465520, https://openalex.org/W2898957968, https://openalex.org/W1038970985, https://openalex.org/W2047074759, https://openalex.org/W6634609459, https://openalex.org/W2788350099, https://openalex.org/W2050341158, https://openalex.org/W2512857122, https://openalex.org/W2004199150, https://openalex.org/W2044448513, https://openalex.org/W2083038452, https://openalex.org/W2019040271, https://openalex.org/W2117603680, https://openalex.org/W2792348244, https://openalex.org/W2046499088, https://openalex.org/W1577818368, https://openalex.org/W2749503184, https://openalex.org/W637484538 |
| referenced_works_count | 38 |
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