Fault diagnosis of pneumatic system of automatic production line is studied in this paper. A fuzzy neural network fault diagnosis expert system and pneumatic circuit fault diagnosis instrument are designed. The experiment device is built as well. In the end some experiments are done, whose results show that the expert system using fuzzy neural network can diagnose fast and truly fault of pneuma...

An effective system testing activity for consecutive releases of very large software systems depends considerably on the selection of test cases for execution. From a practical point of view, it is not feasible to run all possible test cases because of the real-world constraints of limited time, human and monetary resources. While existing techniques for test case selection provide methods to l...

The clinical interpretation of fetal heart rate traces is a difficult task that has led to the development computerised assessment systems. These systems are limited by their inability to represent uncertainty. This paper describes the first stage in the development of a fu2zy expert system for fetal heart rate assessment. A preliminary evaluation study comparing the initial fuzzy system with t...

The approach of continuous evaluation is an important methodology in educational learning process. However, only recently it was applied in training based on virtual reality. This paper presents a methodology of evaluation that uses a fuzzy continuous evaluation approach to provide a user profile from his several training. This information can be used to improve the user performance in the real...

This paper introduces a new methodology for the damage assessment of existing-transmission structures using six layers, zero order Sugeno model. The model is a hybrid fuzzy-neural system that combines the power of neural networks and fuzzy systems. It is a learning expert system that finds the parameters of the fuzzy sets and fuzzy rules by exploiting approximation techniques from neural networ...