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During equipment tests, there exist many software faults such as incorrect design, inaccurate boundary, awful mistake managing, which result in equipment faults frequently. By systematic analysis of software test process and the equipment software's characteristics of close relation with the environment, user and operation, it is proved that there exist disadvantages among software verification tests'...
A criticality analysis method based on cloud model is proposed. First normal cloud model of each evaluating target and its weight is built, and then evaluating matrix is calculated through the cloud model, finally evaluating result is presented. Example shows that this method is more practical and provides more information than that of traditional RPN method. This method provides an effective method...
According to the equipment trials at base, there are many software faults such as incorrect design, inaccurate boundary, awful mistake managing, which often results in equipment faults frequently. Through the systematic analysis of software test process, this paper analyzes the disadvantages upon software process management, testers and test environment. Finally, it brings forward some improvements...
Mean logistic delay time is important index of materiel system support system capability. Based on analyzing materiel system with particular mission, transformation from mission requirement to operational availability and the simulation model is constructed, which the index of mean time between failure and mean time to repair of materiel system is given. The transformation model from the materiel...
This paper proposes a method of feature selection and classification based on ant colony algorithm for hyperspectral remote sensing image. After all features are randomly projected on a plane, each ant stochastically selects a feature on the plane firstly, and then decides which route to be selected in terms of the criterion function among features. Whereafter the feature combination is formed. At...
In this paper, random and bootstrap sampling method and ANFIS (adaptive network based fuzzy inference system) are integrated into En-ANFIS (an ensemble ANFIS) to predict chaotic and traffic flow time series. The prediction results of En-ANFIS are compared with an ANFIS using all training data and each ANFIS unit in En-ANFIS. Experimental results show that the prediction accuracy of the En-ANFIS is...
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