Machine Learning of the Reactor Core Loading Pattern Critical Parameters

Table 1

Comparison of results for RBF kernel function.

Target value	Code package	Accuracy			Learning/Implem.	SV [%]
		RMSE	RAD [%]	>20%[%]	time [s]
𝑘effBOC	SVMTorch	0.029	6.793	3.44	120/14	5.27
	LIBSVM	0.029	7.179	3.96	18/3	3.59
	WEKA	0.028	6.621	3.20	2250/6	3.77
𝑘effEOC	SVMTorch	0.050	5.048	1.96	10800/30	16.69
	LIBSVM	0.045	4.550	1.76	1260/15	18.37
	WEKA	0.045	4.570	1.98	28160/30	18.22
𝐹^𝑁Δ𝐻	SVMTorch	0.040	15.060	20.42	13080/13	16.91
	LIBSVM	0.039	14.810	19.64	1080/14	17.97
	WEKA	0.039	14.801	19.58	33362/14	17.86