Abstract: A hybridized algorithm of artificial neural network(ANN) was used to carry out the task of pattern classification on data from Taguchi Tin-oxided sensors for the three substances acetone,ethanol and methanol.It made use of the Gradient Descent(GD) method with Simulated Annealing(SA) and Genetic algorithm(GA) to speed up the calculation and improve the classification accuracy.It performed good to elude local minima,and consequently improved the accuracy of classfication. Fig.1 shows the ANN learning procedure.The calculation results between two comparison methods are shown in Fig.2 and in Fig.3 for continuing training. By combining the advantages of both SA,GAand GD,extensive tests show that this is a better approach as a pattern recognition method to construct Artificial Nose.

Key words: Pattern classification, Neural network, Simulated annealing, Genetic algorithms, Sensor array