Wl. Xing et al., DETECTION OF COMBUSTIBLE MATERIAL WITH PI EZOELECTRIC CRYSTAL SENSOR ARRAY USING PATTERN-RECOGNITION TECHNIQUES, Gaodeng xuexiao huaxue xuebao, 18(5), 1997, pp. 696-700
A gas sensors array with seven piezoelectric crystals each coated with
a different partially selective coating material was constructed to i
dentify four kinds of combustible material which generate smoke contai
ning different components, The signals from the sensors were analyzed
with both conventional multivariate analysis, stepwise discriminant an
alysis (SDA), and artificial neural networks (ANN), The results show t
hat the predictions were even better with ANN models, In our experimen
t, we have reported a new method for training data selection, ''stepwi
se expanding training set method'' to solve the problem that the netwo
rk can not converge at the beginning of training.