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Table 6 Parameters of training GEP model

From: Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models

Parameter

Parameter description

Parameter setting

1

Function set

 + , −, ÷ , *, sin, cos, x^2, x^3, power,

2

Chromosomes

50

3

Head size

10

4

Number of genes

4

5

Linking function

addition

6

Fitness function

Root relative square error (RRSE)

7

Mutation rate

0.044

8

Inversion rate

0.1

9

One-point recombination rate

0.1

10

Two-point recombination rate

0.3

11

Gene recombination rate

0.1

12

Gene transportation rete

0.1