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In order to provide decision and guidance for the future development of libraries, based on the Data Mining Decision Tree C4.5 Algorithm, taking the library of Changchun Institute of Technology as an example, by structuring decision tree and mining the factors which restrain users from using the library digital resource, the author gets some potential links among the factors affacting the using of...
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate inference difficult. We approach this challenge with a neural architecture we call Conjoined Twins, which is a two-layer feed forward network with a Self-Organizing Map (SOM) as its hidden layer. Its output layer can preferentially...
With the improvement of automobile electric degree, more and more people begin to pay attention to the fault diagnosis method and theories of electric controlled system. The precision and accuracy of on-board diagnosis methods, which with OBDII standard and has been widely used at present need to be further improvement. So, in this paper, take the engine idling instability as the example, put forward...
Time lag impacts quit a lot on KM, i.e. knowledge management. Organizational KM network and artificial neural network share similar character. So on micro-object point of view this article gave a target function on knowledge management with the research method of Hopfield Network, which is a better way to appraise KM performance. And based on this , the article brought up the effect time lag has on...
Although many extended rough set models have been successfully applied into the incomplete information system, most of them do not take the incomplete information system with initial fuzzy data into account. This paper thus presents a general framework for the study of dominance-based rough set model in the incomplete fuzzy information systems. First, the traditional dominance relation is expanded...
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