most citedElite Bases Regression: A Real-time Algorithm for Symbolic Regression

6 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

physics.flu-dyn2021

Reconstructing shock front of unstable detonations based on multi-layer perceptron

Lin Zhou, Honghui Teng, Hoi Dick Ng +2

The dynamics of frontal and transverse shocks in gaseous detonation waves is a complex phenomenon bringing many difficulties to both numerical and experimental research. Advanced l…

cs.NE2017

Fast Modeling Methods for Complex System with Separable Features

Chen Chen, Changtong Luo, Zonglin Jiang

Data-driven modeling plays an increasingly important role in different areas of engineering. For most of existing methods, such as genetic programming (GP), the convergence speed m…

math.OC2017★ 1 cited

A multilevel block building algorithm for fast modeling generalized separable systems

Chen Chen, Changtong Luo, Zonglin Jiang

Data-driven modeling plays an increasingly important role in different areas of engineering. For most of existing methods, such as genetic programming (GP), the convergence speed m…

cs.NE2017★ 5 cited

A divide and conquer method for symbolic regression

Changtong Luo, Chen Chen, Zonglin Jiang

Symbolic regression aims to find a function that best explains the relationship between independent variables and the objective value based on a given set of sample data. Genetic p…

cs.DS2017★ 6 cited

Elite Bases Regression: A Real-time Algorithm for Symbolic Regression

Chen Chen, Changtong Luo, Zonglin Jiang

Symbolic regression is an important but challenging research topic in data mining. It can detect the underlying mathematical models. Genetic programming (GP) is one of the most pop…

cs.NE2017★ 1 cited

Block building programming for symbolic regression

Chen Chen, Changtong Luo, Zonglin Jiang

Symbolic regression that aims to detect underlying data-driven models has become increasingly important for industrial data analysis. For most existing algorithms such as genetic p…