A prediction method based on support vector machine（SVM）is proposed aimed at decreasing the zero drift of gas sensor caused by temperature

power swing and change of inner characteristics.No large scale samples and feature extraction are needed to get acceptable result

and it has popularly application domains.The measurement results of two semiconductor gas sensors as research object indicate that the stability is increased six times

the optimized ways of increasing samples and decreasing one order are also presented.