# A brief introduction to the Grey Machine Learning

arXiv: https://arxiv.org/abs/1805.01745 · HTML: https://mlsanity.com/paper/1805.01745/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 May 2018.

## Built on by (most cited first, 1 of 1)

- [A Comparative Analysis of Machine Learning and Grey Models](https://mlsanity.com/paper/2104.00871/) (2021)

## Abstract (arXiv)

This paper presents a brief introduction to the key points of the Grey Machine Learning (GML) based on the kernels. The general formulation of the grey system models have been firstly summarized, and then the nonlinear extension of the grey models have been developed also with general formulations. The kernel implicit mapping is used to estimate the nonlinear function of the GML model, by extending the nonparametric formulation of the LSSVM, the estimation of the nonlinear function of the GML model can also be expressed by the kernels. A short discussion on the priority of this new framework to the existing grey models and LSSVM have also been discussed in this paper. And the perspectives and future orientations of this framework have also been presented.