The kernel regularized extension of the Arps' decline model (KNEA)
This model is published in my research paper
"Ma X, Liu Z B. Predicting the oil production using the novel multivariate nonlinear model based on Arps decline model and kernel method[J]. Neural Computing and Applications 29 (2), 579-591, doi: 10.1007/s00521-016-2721-x."
This software is the implementation of the KNEA model, which can be used for multivariate regression and prediction problems. The input series can be more than one column, but the output series should only contain one column.
Details of how to use this software are written in the 'read me.txt' and the remarks of the main program (simknea.m).
More details about the philosophy and the test data could be found in the following link:
The SpringerLink:
https://link.springer.com/article/10.1007%2Fs00521-016-2721-x
My own author copy:
Cite As
Marshal ( Xin Ma) (2024). The kernel regularized extension of the Arps' decline model (KNEA) (https://www.mathworks.com/matlabcentral/fileexchange/58918-the-kernel-regularized-extension-of-the-arps-decline-model-knea), MATLAB Central File Exchange. Retrieved .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Regression > Nonlinear Regression >
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KNEA/
Version | Published | Release Notes | |
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1.0 | 1. The LOGO has been changed.
The logo is the first result in the paper with comparison of the kernel model (KNEA) and the corresponding linear model. Information of the original paper has been added, including the citation format, the corresponding link of Springer and my own author copy. The readers can easily download it in my page of researchgate. |
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