References
- J. Li, Y. Sun, L.L. Gong, N. Chai, Y.F. Yin, Multiattribute fuzzy
decision evaluation approach and its application in enterprise
competitiveness evaluation, Math. Probl. Eng., 2021 (2021) 1–11,
doi: 10.1155/2021/8867752.
- P.S. Chen, Y.J. Zheng, L. Li, T. Jing, X.X. Du, J.Z. Tian, J.X. Zhang,
M.Y. Dong, J.C. Fan, C. Wang, Z.H. Guo, Prediction of PM2.5
mass concentration based on the back propagation (BP)
neural network optimized by t-distribution controlled genetic
algorithm, J. Nanoelectron. Optoelectron., 15 (2020) 432–441.
- B. Gao, V. Balyan, Construction of a financial default risk
prediction model based on the LightGBM algorithm, Int. J.
Intell. Syst., 31 (2022) 767–779.
- H. He, H.H. Xing, D. Hu, X.C. Yu, Novel fuzzy uncertainty
modeling for land cover classification based on clustering
analysis, Sci. China (Earth Sci.), 62 (2019) 438–450.
- X. Guo, T. Chen, W. Huang, Y. Tang, Fuzzy clustering algorithm
of transaction database based on big data, IPPTA: Q. J. Indian
Pulp Paper Tech. Assoc., 30 (2018) 579–586.
- S.R. Rajesh, E. Kanniga, M. Sundararajan, A fuzzy clustering
approach for micro aneurysm lesion detection in diabetic
retinopathy, Int. J. Res. Pharm. Sci., 11 (2020) 503–511.
- Z. Chen, Using big data fuzzy k-means clustering and information
fusion algorithm in English teaching ability evaluation,
Complexity, 2021 (2021) 5554444, doi: 10.1155/2021/5554444.
- Y.L. Mi, Y. Shi, J.H. Li, W.Q. Liu, M.Y. Yan, Fuzzy-based concept
learning method: exploiting data with fuzzy conceptual
clustering, IEEE Trans. Cybern., 52 (2022) 582–593.
- M.K. Almedallah, S.D.C. Walsh, Integrated well-path and
surface-facility optimization for shallow-water oil and gas
field developments, J. Pet. Sci. Eng., 174 (2019) 859–871.
- N.K. Shu, C.G. Su, X.G. Shi, Z.P. Li, X.F. Zhang, X.H. Chen,
J.B. Zhu, L. Song, Seismic description and fluid identification
of thin reservoirs in Shengli Chengdao extra-shallow sea
oilfield, Pet. Explor. Dev., 48 (2021) 889–899.
- W.X. Wang, R.C. Tang, C. Li, P.S. Liu, L. Luo, A BP neural
network model optimized by Mind Evolutionary Algorithm
for predicting the ocean wave heights, Ocean Eng., 162 (2018)
98–107.
- Q.B. Ren, M.C. Li, S. Han, Discrimination and comparison
experiments of basalt tectonic setting based on improved
genetic algorithm-optimized neural network, Earth Sci. Front.,
26 (2019) 117–124.
- W. Fan, Y.Y. Lin, Z.S. Li, Prediction model of the creep of piezo
ceramic based on BP neural network optimized by genetic
algorithm, Electr. Mach. Control, 22 (2018) 91–96.
- M. Khandelwal, A. Marto, S.A. Fatemi, M. Ghoroqi,
D.J. Armaghani, T.N. Singh, O. Tabrizi, Implementing an ANN
model optimized by genetic algorithm for estimating cohesion
of limestone samples, Eng. Comput., 34 (2018) 307–317.
- Y. Wang, Risk prediction of information leakage in new
product development stage based on data driven model,
Int. J. Prod. Dev., 25 (2021) 114–129.
- X.H. Li, R.C. Jia, R.R. Zhang, S.Y. Yang, G.M. Chen, A KPCABRANN
based data-driven approach to model corrosion
degradation of subsea oil pipelines, Reliab. Eng. Syst. Saf.,
219 (2022) 108231, doi: 10.1016/j.ress.2021.108231.
- R. Zhang, J.H. Wang, S.J. Liu, Z.Z. Zhang, L. Ma, W.B. Meng,
Z.Y. Wang, Y. Huang, H.X. Liu, F. Xu, Modeling and durability
behavior of erosion–corrosion of sand control screens in
deepwater gas wells, ACS Omega, 6 (2021) 23943–23951.
- P. Saravanan, A.K. Gupta, H.B. Zheng, M.K. Panigrahi,
S.K. Tiwari, S.K. Rai, M. Prakasam, Response of shallow-sea
benthic foraminifera to environmental changes off the coast
of Goa, eastern Arabian Sea, during the last ~6100 cal yr BP,
Geol. Mag., 157 (2020) 497–505.
- Y. Zhuang, Simulation of economic cost prediction of offshore
oil pollution based on cloud computing embedded platform,
Microprocess. Microsyst., 83 (2021) 103993, doi: 10.1016/j.micpro.2021.103993.