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The construction and algorithm of a self-organizing feature map neural network is researched. It is the first time to present the method of classifying and diagnosing IVC fault based on clustering principle of the SOM network .The diagnosis results given in this article prove that the fault diagnosis approach is effective.
The improved BP neural network is researched. It is the first time to present the method of IVC fault diagnosis based on the improved BP neural network.. First, the maulti-faults integral diagnostics model will be used to diagnose and then the single-fault parallel diagnosis model is introduced according to the fault characters of IVC. The result of the research shows that the later method is apparently...
Test case prioritization is an effective and practical technique that helps to increase the rate of regression fault detection when software evolves. Numerous techniques have been reported in the literature on prioritizing test cases for regression testing. However, existing prioritization techniques implicitly assume that source or binary code is available when regression testing is performed, and...
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