I have trained Feed Forward NN using Matlab Neural Network Toolbox on a dataset containing speech features and accelerometer measurements. Targetset contains two target classes for dataset: 0 and 1. The training, validation and performance are all fine and I have generated code for this network.
Now I need to use this neural network in real-time to recognize pattern when occur and generate 0 or 1 when I test a new dataset against previously trained NN. But when I issue a command:
c = sim(net, j)
Where "j" is a new dataset[24x11]; instead 0 or 1 i get this as an output (I assume I get percent of correct classification but there is no classification result itself):
c = Columns 1 through 9 0.6274 0.6248 0.9993 0.9991 0.9994 0.9999 0.9998 0.9934 0.9996 Columns 10 through 11 0.9966 0.9963
So is there any command or a way that I can actually see classification results? Any help highly appreciated! Thanks