Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem-Reference-Cited by-同舟云学术

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Improved optimization parameters prediction using the modified mega trend diffusion function for a small dataset problem

Published:2022-08-09 Issue:11 Volume:64 Page:3129-3149
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Khamis Nurulaqilla^ORCID,Selamat Hazlina,Ismail Fatimah Sham

Funder

Ministry of Higher Education, Malaysia

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10115-022-01727-z.pdf

Reference35 articles.

1. Xie Y, Wang T, Xing Z, Huan H, Zhang Y, Li Y (2022) An improved indoor location algorithm based on backpropagation neural network. Arab J Sci Eng pp 1–13

2. Zhu B, Ye S, Wang P, Chevallier J, Wei Y-M (2022) Forecasting carbon price using a multi-objective least squares support vector machine with mixture kernels. J Forecast 41(1):100–117

3. Wood DA (2022) Dataset insight and variable influences established using correlations, regressions, and transparent customized formula optimization. In: Sustainable geoscience for natural gas subsurface systems, Elsevier, pp 383–408

4. Cui Z, Xue F, Cai X, Cao Y, Wang G, Chen J (2018) Detection of malicious code variants based on deep learning. IEEE Trans Ind Informatics 14(7):3187–3196

5. Wang G, Guo L, Duan H (2013) Wavelet neural network using multiple wavelet functions in target threat assessment. Sci World J, vol 2013

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