Prediction Model for Safe Operation of Pumping Stations Optimized by the Sparrow Search Algorithm and BP Neural Network

Table 7

Normalization of five sets of training set samples.

Evaluation indicators	Online learning sample number
	1	2	3	4	5
B1	0.875695	0.9	0.581153	0.789307	0.324511
B2	0.676737	0.65403	0.700238	0.81403	0.528106
B3	0.68762	0.770408	0.662724	0.766455	0.670014
B4	0.699119	0.530186	0.49135	0.549905	0.67124
B5	0.808913	0.724556	0.764392	0.815058	0
B6	0.175948	0.688268	0.830404	0.838578	0.739774
B7	0.288548	0.779178	0.670042	0.894084	0.751195
B8	0.788649	0.9	0.66417	0.68864	0.644865
B9	0.855003	0.651724	0.77205	0.742088	0.830849
B10	0.9	0.715084	0.605505	0.544461	0.274067
B11	0.701403	0.734548	0.647686	0.76752	0.684432
B12	0.629208	0.781921	0.829767	0.774236	0.715545
B13	0.83485	0.811616	0.608257	0.492256	0.742167
B14	0.729311	0.892097	0.703601	0.9	0.9
B15	0.591004	0.422002	0.821223	0.864107	0.739825
B16	0.770034	0.557941	0.645791	0.555882	0.856229
B17	0.1	0.594396	0.803587	0.653478	0.668024
B18	0.417515	0.30642	0.268766	0.545914	0.821657
B19	0.428529	0.764029	0.503529	0.557914	0.488529
B20	0.834285	0.460957	0.749532	0.347322	0.886857
B21	0.742802	0.8139	0.657588	0.673166	0.683268
B22	0.726259	0.691755	0.617986	0.845091	0.879676
B23	0.819787	0.899195	0.795784	0.785341	0.407178
B24	0.665463	0.84608	0.1	0.779025	0.629151
B25	0.702635	0.335649	0.767403	0.627829	0.604887
B26	0.9	0.722451	0.749736	0.864237	0.818532