On the basis of the analysis of internal and external research on current situation of quality supervision for cooperative manufacturing process in virtual enterprise, the quality supervision model based on the method of neural network for cooperative manufacturing process in. virtual enterprise is firstly constructed; and secondly, combined with the practice of quality supervision for cooperative manufacturing process of power products in virtual enterprise this paper mainly probes into such key problems as the extraction of characteristic vector rested on the measured data of key quality characteristics and the expert assessment data for controlling state of key process and activities and its determination of input membership functions, three stages on the learning and training of neural network and the determination of output membership function based on preferences. And then, the above model is trained by the training sample data and tested by the testing sample data so as to achieve the goal of classification-judgment of the state of quality supervision of manufacturing cooperative partners. Finally, the intelligent quality analysis technology with machine learning in the main is formed.
