I am running a LSTM network on some input data using the trainNetwork function. The data consists of sequencing data with nine features, and I have broken the sequences into windowed segments that I can classify. I want to pass the average, standard deviation, and other features of these segments to the fully connected layer of my neural network to hopefully improve the accuracy of the classifier. I have tried using an addition layer to add the statistical features and features from the LSTM output together but I have had no success. Is this even possible in MATLAB, and if so, how would one go across implementing this?