Improvement of BP network's classifying ability by changing method of preprocessing

The preprocessing work was simplified, the patterns of signal become more recognizable and the relation between each component of one sample was not changed, if the preprocessing of samples was based on signals rather than on the components of the signals' characteristic vectors. At the same time, neural network can be trained more efficiently and the trained network can classify the inputs in a more appropriate way.