BP预测布谷鸟算法优化BP神经网络数据回归预测含Matlab源码

clc
clear
%读取数据
load data 
z=data';
n=length(z);
for i=1:6;
    sample(i,:)=z(i:i n-6);
end
%训练数据和预测数据
    input_train=sample(1:5,1:1400);
    output_train=sample(6,1:1400);
    input_test=sample(1:5,1401:1483);
    output_test=sample(6,1401:1483);
%节点个数
inputnum=5;
hiddennum=3;
outputnum=1;
n=25;
%选连样本输入输出数据归一化
[inputn,inputps]=mapminmax(input_train);
[outputn,outputps]=mapminmax(output_train);
%构建网络
net=newff(inputn,outputn,hiddennum);
[bestnest,fmin]=cuckoo_search(n,inputnum,hiddennum,outputnum,net,inputn,outputn);
fmin
x=bestnest;
%% BP网络预测
%数据归一化
inputn_test=mapminmax('apply',input_test,inputps);
an=sim(net,inputn_test);
test_simu=mapminmax('reverse',an,outputps);
error=test_simu-output_test
E=mean(abs(error./output_test))
plot(output_test,'g*')
hold on;
plot(test_simu,'-o')
title('布谷鸟算法优化BP神经网络实际值和预测值对比','fontsize',10)
legend('实际值','预测值')
xlabel('时间')
ylabel('比较值')