Urinary sediments recognition based on neural network and fuzzy reasoning
Wei Huang · Jisuanji gongcheng yu sheji · 2008
A new method is proposed to classify the components in urinary sediment images based on the combination of neural network and fuzzy reasoning.If some abnormal components can not be classified by the neural network accurately,fuzzy reasoning is used to classify the components further.Mamdani fuzzy reasoning model which has multi-rules and multi-inputs is created based on the recog-nition experiences of experts,which makes the recognition system more intelligent.Experimental results indicate that the method can improve the recognizing rates of the abnormal components.