Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on somatic embryogenesis of chrysanthemum, as a case study

Table 4 Optimizing PGRs according to optimization process via SVR-NSGAII for embryo number and embryogenesis rate in chrysanthemum

input variable (μM)			Predicted embryogenesis rate	Predicted embryo number
2,4-D	KIN	SNP	Predicted embryogenesis rate	Predicted embryo number
9.10	4.70	18.73	99.09	56.23

ISSN: 1746-4811