Pattern Recognition of the Universal Electronic Nose

An electronic nose is the intelligent instrument that identifies the chemical odors mimicking a human. Now the majority of electronic noses could only identify the specific species, however the human olfactory system is able to characterize and classify many different odors. The problem has prevented their use in wider commercial applications. The pattern recognition methods based on the probabilistic neural networks (PNN) are studied in this paper. The electronic nose systems designed could identify all the samples of beer, fruit juice and milk successfully in the experiments. The results of the experiments showed that the researched systems have a better classification and generalization capacity. The pattern recognition methods of the universal electronic nose are proposed in the paper. The effective universal electronic nose has much advantage over others such as simple methods of pattern recognition and classification, easy training approaches and wider application fields.