The study of gas sensor array signal processing with new genetic algorithms

In the field of gas sensor array signal processing, one of the most important and the most difficult procedures is the identification of the feature parameters (FP). Then we can use the optimum FP to distinguish different odours sensitively. Currently, however, there is no acceptable method for extracting the optimum FP. Therefore, a new method called organization feature parameter based on formulae expression tree by using genetic algorithms has been proposed in this paper. It could solve the problem how to getting optimum FP, and make the genetic algorithm more convenient and straight. The formulae expression tree for the fusion of feature parameters has been discussed and then the selection, crossover and mutation for the genetic algorithm were studied in depth. In order to prove the advantage of the method, some experiments adopting the new method have been carried out to recognize vinegar odours by using gas sensor array. The result demonstrated that the new method is a very useful and effective method for pattern recognition.