To combine two networks in a series manner

Dear All,

Greetings of the day

Currently, I am working on the RUL of the battery. I have created an RNN based model. I would wish if anyone can assist me in combining the autoencoder model with my current RNN model so that I can research more with regards to the combination of the two networks. I would be grateful for the assistance in this regard.

Regards

net = layrecnet(1:2,N_node);

net.trainFcn = 'trainlm';

net.trainParam.show = 5;

net.trainParam.lr=lr;

net.trainParam.epochs = 1000;

net.performFcn = 'mse';

net = init(net);

net = train(net,data_train,target_train);

capacity_estimated=(sim(net, data_test))';

capacity_error = gsubtract(target_test',capacity_estimated);

RMSE = rms(capacity_error)*100

MSE=(mean((capacity_estimated-target_test').^2))*100

MAPE=(sum(abs((capacity_estimated-target_test')./(capacity_estimated)))./length(target_test'))*100

MAE=(sum(abs(capacity_estimated-target_test'))./length(target_test'))*100

SD=(std(capacity_estimated-target_test'))*100