[Retracted] Fault Diagnosis of Automobile Engine Based on Improved BP Neutral Network

Table 3

Simulation results of partial training data based on the traditional BP neural network.

The target output	Actual output based on the traditional BP neural network					Diagnostic number	Diagnostic results
00001	0.0025	-0.0085	0.0043	0.0133	1.0006	1	True
00010	0.0019	-0.0044	0.0053	0.9987	0.0032	2	True
00011	0.0074	-0.0013	0.0075	0.9976	1.0074	3	True
00100	-0.0054	0.0038	0.9974	0.0031	0.0129	4	True
00101	0.0024	0.0023	0.9968	0.0052	0.9996	5	True
00110	-0.0031	0.7386	0.2512	0.2544	0.5055	9	False
00111	-0.0065	0.0088	0.9979	0.9972	0.9955	7	True
01000	-0.0031	0.7386	0.2512	0.2545	0.5055	9	False
01001	-0.0031	0.7386	0.2512	0.2545	0.5055	9	True
01010	-0.0005	0.9961	0.0008	0.9972	0.0007	10	True
01011	-0.0163	0.9827	-0.0031	1.0156	1.0012	11	True
01100	0.0074	0.9995	1.0043	0.0125	-0.0019	12	True
01101	0.4946	0.4968	0.4988	0.0110	0.4988	0	False
01110	0.0047	0.9971	1.0012	0.9977	0.0002	14	True
01111	-0.0006	0.9968	1.0001	1.0055	1.0067	15	True
10000	0.4946	0.4968	0.4988	0.0111	0.4988	0	False