Abstract
Table 15: The F-score performance of third data representation technique with RNN-LSTM
['[EMPTY]', '[BOLD] Prec', '[BOLD] Rec', '[BOLD] Fscore']
The best achieved performance is obtained with LSTM block architecture of one node input layer, two nodes hidden layer, and one node output layer. The used parameters are: learning rate = 0.001, momentum = 0.9, and epoch = 30, input dimension = 200, and with the time sequence frame set to 2.