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Automatic word segmentation technology is an important component part of modern Chinese information processing. It is the key technology of the Chinese full-text retrieval. This paper presents a Chinese word segmentation algorithm based on maximum entropy. It uses of part-of-speech tagging and word frequency tagging of corpus to establish maximum entropy model based on mutual information as a word...
Diagnostic test has an important role in the fault diagnosis. This paper presents a method for test reliability assessment based on Bayesian network. The reliability model for diagnosis test is gotten based on dependency matrix of fault and test. Then the Bayesian model is gotten through the reliability data obtained by probabilities of fault and the detection probabilities. From the examples, conclusion...
Aiming at the attribute reduction problems of the information system, a new algorithm based on DNA-sticker model is proposed in this paper. Firstly, the dependency matrix of the information system is established, which could convert the problem of attribute reduction to set cover problem. Then, the all true solution can be achieved by using DNA-sticker model. Finally, through the example the conclusion...
In model-based diagnosis, the candidate diagnosis results are generally by all minimal hitting sets for the collection of all conflict sets. In this paper, a new method is proposed to solve the problem by the establishment of dependency matrix of conflict sets cluster, the use of the concept of covered-hit, which can convert the problem for computing the hitting sets to set cover problem. And then...
UML Sequence Diagram (SD) is used to modeling the dynamic behaviors of system, but it lacks simulation and verifiability capabilities because of its semi-formal nature. This paper proposes a UML-CPN transformation method to building dynamic model in UML using CPN. This work aims to develop efficient transformation methods, and then uses CPN models to simulate, verify and evaluate the systems. This...
This paper presents a comprehensive survey of many evolutionary algorithms for solving multiobjective optimization problems. Four main kinds of multiobjective algorithms (GA, PSO, SA, and AC) have been presented, and their merits and demerits are compared and discussed respectively. Finally, a mix algorithm is suggested as an effective method.
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