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Run-to-run (R2R) control is the most commonly method in semiconductor manufacturing process. Generally, it is based on mathematical model, but for the complexity of the practical manufacturing process, it is difficult to set up the mechanical process model. This paper presents a data-based fault tolerant approach. Taking the disturbance and the fault into account, it adopts a large amount of historical...
This paper presents an intelligent corporate governance analysis and rating system, called ICGA, capable of retrieving SEC required documents of public companies and performing analysis and rating in terms of recommended corporate governance practices. With local knowledge bases, databases, and semantic networks, ICGA is able to automatically evaluate the strengths, deficiencies, and risks of a company's...
The reduced support vector machine (RSVM) was proposed to overcome the computational difficulties as well as to reduce the model complexity in generating a nonlinear separating surface for a massive data set. However, it selects `support vectors' randomly from the training set, this will effect the result. To overcome this shortcoming of RSVM, an improved RSVM algorithm is presented in this paper...
Semantic Web applications meet a serious problem in practice: the shortage of semantic data (ontologies). Since the vast majority of data are still stored in relational databases, they are unavailable for the most next generation Web applications, such as Semantic Digital Libraries. Therefore, it becomes one of core challenges of Semantic Web whether applications can automatically retrieve semantic...
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