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Real-time crash prediction models are playing a key role in transportation information system. Support vector machine (SVM), a classification learning algorithm, was introduced to evaluate real-time crash risk. The size of traffic dataset is always large with a high accumulating speed. By applying a warm start strategy, an incremental learning algorithm is introduced to update the original model....
Data mining is a challenge for end-users, which requires knowledge and skills on business domains, data mining algorithms and software development. In response to the challenge, we have proposed, designed and implemented a novel data mining system named RFDM (RHadoop-based Fuzzy Data Mining), which supports fuzzy data mining process and experience with user convenience and reduced cost. The system...
In the teaching of information and computing science specialty which was adjusted by the mathematic and applied software specialty which is widespread teachers focus on teaching theory instead of practice, its teaching content and method is relatively backward, teaching methods and evaluation methods does not adapt to training ability and improving innovation. Build the open practice teaching system...
The paper designed evaluation index system based on analyzing the relation between the industrial cluster and circular economy, and according to that established the BP artificial neural networks evaluation model. Finally it carried on the simulation calculating to the Shanxi Province YanLiang's development level of circular economy in aviation industrial cluster. And it pointed out the superiority...
It is important to detect defects in wood, when it reduce the performance. The data and signal processing technology providing researchers with more damage identification problem solution ideas and methods. This article explore the wavelet analysis and artificial neural network for the wood defects based on non-destructive testing, and build an artificial neural network model for wood non-destructive...
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