Rotor Transverse Slots’ Influence on Negative Sequence Loss and Heat Distribution Prediction of Large Generators Based on Improved Radial Basis Function Process Neural Network

Table 3

Comparative analysis of the model prediction results.

Test no.	Model	AE/%	AEmax/%	R	T/s
1	RBFPNN	5.89	23.21	0.910	51.23
	CGA-RBFPNN	4.03	15.46	0.957	40.14
	AGA-RBFPNN	2.86	11.47	0.962	39.31
	IGA-RBFPNN	1.96	6.03	0.979	38.89
	GA- IGA-RBFPNN	1.78	5.74	0.985	36.96
2	RBFPNN	5.74	27.65	0.916	49.56
	CGA-RBFPNN	4.15	14.69	0.962	43.61
	AGA-RBFPNN	3.08	10.35	0.970	41.58
	IGA-RBFPNN	1.92	6.81	0.977	40.72
	GA- IGA-RBFPNN	1.74	6.62	0.983	38.17
3	RBFPNN	5.48	20.17	0.925	54.38
	CGA-RBFPNN	3.85	11.48	0.964	41.57
	AGA-RBFPNN	2.98	10.16	0.968	41.35
	IGA-RBFPNN	1.63	7.36	0.981	41.32
	GA- IGA-RBFPNN	1.57	6.82	0.986	38.14