Based on the feature of the sensitivity detection of catalytic sensor to inflammble different gas

single catalytic sensor is used to analyze mixed-inflammable gases with unknown components by distributed multi-subnet neural networks in different electric field.Distributed neural networks are used to set model of signal recognition by training.Three mixed gases are adopted.The result proves that the method is feasible.And the result shows that it achieves better performance than BP or RBF network on generalization ability and training speed etc.The feature of multi-subnet and dividing a complex task automatically is especially suitble for complex task learning.And it has good application prospect.