Abstract
Artificial neural network is the most widely used and most mature technology in artificial intelligence information fusion; classification recognition is one of the main application. In this article, the 6-13-6 three layer BP neural network classifier is designed for white blood cell image, and the BP network is trained and simulated by using the feature data extracted from the white blood cell image. The simulation results show that the classifier can classify the cells rapidly and accurately.
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