In view of the usefulness of Empirical Mode Decomposition ( EMD) , Artificial Neural Networks ( ANN) , and Most Relevant Matching Extension ( MRME) methods in dealing with nonlinear signals , we propose a new way of combining these methods to deal with signal prediction. We found the results of combining EMD with either ANN or MRME to have higher prediction precision for a time series than the result of using EMD alone.