Model and Algorithm of BP Neural Network Based on Expanded Multichain Quantum Optimization

Table 3

The experiment results of the four algorithms.

Algorithm	Error	1	2	3	4	5	6	7	8	9	10	Average value
BP	Error 1	0.9455	1.0252	1.1493	1.0368	0.8473	0.9781	1.0185	1.0967	0.9795	1.0955	1.0172
	Error 2	1.9559	1.9604	2.0556	1.9821	1.8676	1.9592	1.9683	2.0947	1.9839	1.9868	1.9815
GA-BP	Error 1	0.8828	0.3893	0.5888	0.6893	0.8178	0.7885	0.3947	0.5838	0.5635	0.8384	0.6537
	Error 2	1.6535	1.421	1.3859	1.5857	1.8434	1.6883	1.4641	1.6759	1.5937	1.8758	1.6187
DCQA-BP	Error 1	0.6463	0.4027	0.5394	0.4859	0.6673	0.6375	0.3375	0.5473	0.5532	0.6391	0.5456
	Error 2	1.5874	1.3867	1.3589	1.4845	1.5838	1.5423	1.5984	1.5873	1.4839	1.5868	1.52
MCQA-BP	Error 1	0.5263	0.3017	0.4194	0.3559	0.5273	0.4275	0.5175	0.6273	0.3332	0.3291	0.4365
	Error 2	1.5174	1.3167	1.4389	1.3545	1.4438	1.3123	1.5284	1.4373	1.3239	1.3268	1.4