Introduction - If you have any usage issues, please Google them yourself
First step: run BP_CCPP.m Get and save traditional BP prediction, initial weight and threshold value w1_BP (W1 B1 W2 B2), BP network (BP_net), and results. The second part: running GABP_CCPP.m Get and save GABP prediction, initial weight and threshold (x), optimized weight and threshold value and threshold w1_GABP (W1 B1 W2 B2), BP network (GA_BP_net), and results. The third part: running sum_BP.m The first and second networks are used to predict the results, and the results are compared and the figures are obtained. The fourth part: running WB.m Get some weight and threshold graph.