Neural network self-reliance signal forecast based on LS rule

For the problem of signal forecasting a new method, the neural network self-reliance signal forecasting based on least squares (LS) rule, is presented in this paper from the point of view of studying the theory of neural network. The simulation results show that the new method has such advantages as low processing time, high precision, easy realization, etc