Blood cell''''s classification based on single-output artificial neural network
基于单输出型神经网络的血细胞分类研究

The blood cell's characteristic parameters that have been obtained previously were processed with both BP Neural Network and Single-output Neural Network in order to classify the blood cells automatically. Compared with the BP Neural Network, the Single-output Neural Network is affirmed with more effective result due to a few advantages such as simpler design, faster convergence speed, higher accuracy of recognition and better robustness.