Application of partial least-square regression to prediction of microwave effects

The partial least-square regression (PLSR) method was introduced and implemented in the prediction of microwave effects. The results show that the PLSR method has an accuracy almost consistent with the adaptive neuro-fuzzy inference system (ANFIS) model’s, and their average relative error is less than 3%. The requirement for sample size of these two methods was analyzed. On the condition of small sample size, the PLSR model is more precise than the ANFIS model. Thus the PLSR method is more effective for data processing and prediction with small sample size of microwave effects.