Implicit Equation Discovery

Abstract: Implicit equation is loose in form, which makes it more powerful than explicit equation for data regression. The mainstream method for  automatic implicit equation discovery is based on calculating derivatives.  However, this derivative-based mechanism requires high time consumption  and it is difficult to solve problems with sparse data. In this project, we aim to propose effective and efficient approaches to solve the  above deciencies.

CL-GEP

Figure 1 Example curves of implicit equations.

Related paper:

  1. Y. Chen, J. Zhong*, M. Tan, “Comprehensive Learning Gene Expression Programming for Automatic Implicit Equation Discovery, ” International Conference on Computational Science (ICCS). Springer, Cham, 2018: 114-128. [Link]