【bayes-Transformer多维时序预测】bayes-Transformer多变量时间序列预测，基于bayes-Transformer多变量输入模型。matlab代码，2023b及其以上。

%%  划分训练集和测试集
P_train = res(1: num_train_s, 1: f_)';
T_train = res(1: num_train_s, f_ + 1: end)';

P_test = res(num_train_s + 1: end, 1: f_)';
T_test = res(num_train_s + 1: end, f_ + 1: end)';
%%  划分训练集和测试集
M = size(P_train, 2);
N = size(P_test, 2);
or_dim = size(P_train,1) ;       % 记录特征数据维度
n_out = 1 ; %   % 预测步长
%  数据归一化
[p_train, ps_input] = mapminmax(P_train, 0, 1);
p_test = mapminmax('apply', P_test, ps_input);

[t_train, ps_output] = mapminmax(T_train, 0, 1);
t_test = mapminmax('apply', T_test, ps_output);

%%  数据平铺

for i = 1:size(p_train,2)
    trainD{i,:} = (reshape(p_train(:,i),or_dim,[]));
end

for i = 1:size(p_test,2)
    testD{i,:} = (reshape(p_test(:,i),or_dim,[]));
end

targetD = t_train';
targetD_test = t_test';
 %%  优化算法参数设置

智能算法及其模型预测