Machine Learning of the Reactor Core Loading Pattern Critical Parameters

Table 2

Comparison results for PF kernel function.

Target value	Code package	Accuracy			Learning/Implem.	SV [%]
		RMSE	RAD [%]	>20% [%]	time [s]
𝑘effBOC	SVMTorch	0.030	6.418	3.76	50/11	6.88
	LIBSVM	0.030	7.610	5.62	9/3	4.83
	WEKA^*	0.030	6.259	3.46	4027/10	2.43
𝑘effEOC	SVMTorch	0.072	7.147	4.92	840/20	19.33
	LIBSVM	0.058	5.856	3.12	2113/11	30.21
	WEKA^*	0.056	6.095	3.34	31120/45	30.02
𝐹^𝑁Δ𝐻	SVMTorch	0.044	16.057	22.92	420/18	18.50
	LIBSVM	0.039	14.992	20.50	325/8	18.43
	WEKA^*	0.042	15.701	22.40	7000/30	17.17

^*PF kernel in the form 𝐾_PF(𝑥_𝑖,𝑥_𝑗)=(𝑥^T_𝑖𝑥_𝑗)^𝑑.