Electronic nose made up of gas sensors array now is playing an important role in the detection of volatile chemicals.Aimed at the research on practical electronic nose recognition algorithm which has anti-jamming ability and can be used in local detecting

response curves of 9 kinds of volatile gases of chemicals are acquired by the array made up of 12 gas sensors.To make it more practical

a new method of algorithm is proposed for feature extraction based on the BP neural network.It needs less calculation

has high stability and is not easily influenced by the gas concentration.On the basis of the network training and test on the samples

and the average recognition rate reaches 90%

and it approves that this algorithm is practical.