Fusion recognition of dot target multi-spectrum data based on ANN

In order to solve dynamic small weak infrared object multi spectrum data fusion problem, a multi period pattern recognition model has been established by using ANN parallel nets and D S theory. This model solves the training time problem for single net with large numbers of samples because of importing of the parallel nets. The model was validated using dot infrared spectrum data with additive noise as target data source and the result of calculation indicate the recognition model has very strong multi period uncertainty evidence focusing capability.