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A novel dynamic modeling method based on multi-kernel support vector machine with immune sliding optimization (ISA-MKSVM) is proposed in this paper. Multi-kernel SVM is an effective tool to solve the diversity of data features, and the immune sliding algorithm optimizes the parameters of multi-kernel SVM. The proposed algorithm can obtain a good dynamic performance by re-defining the affinity of the...
The development of railway systems is often supported by a range of tools, each addressing individual, but overlapping concerns such as, e.g., performance or safety analysis. However, it is a challenge for users to organise work-flows; results are often in different, non-aligning data formats; furthermore, tools work on different levels of abstraction from macro to microscopic. Thus, tool integration...
In order to scientific and accurately predict the sport games results, the paper provides a prediction model of sports results based on knowledge discovery in date-base. The method combines the multiple lightweight model with a variety of technical to improve the accuracy of prediction model of sports results. The examples results show the model based on knowledge discovery in date-base can not only...
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