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The research of distinction of name ambiguity in the field of information retrieval could enhance searching effect. Therefore, it plays an important role to mine the data of name ambiguity in order to obtain useful knowledge. In this paper, we focus on the problem of traditional evaluation and ranking method used in the clustering. Traditional evaluation and ranking method ignores the association...
This paper presents a genetic algorithm and back propagation neural network (GA-BP-NN) outburst prediction model with a structure of 6 × 13 × 1 according to basic theory of coal and gas outburst hazard classification prediction of coal mine and genetic algorithm, back propagation and neural network. Particularly, we also construct an application of outburst prediction of coal mine. From the learning...
It has great significance for reducing the operation failure rate and operation maintenance cost of wind turbine through monitoring possible fault power electronic devices and identifying the faults of power electronic devices. The paper applies self-organizing feature map neural network (SOM) to the fault diagnosis of wind turbine power electronic equipment and verifies its engineering application...
The last two years have witnessed the introduction and rapid expansion of products based upon large, systematically-gathered, street-level image collections, such as Google Street View, EveryScape, and Mapjack. In the process of gathering images of public spaces, these projects also capture license plates, faces, and other information considered sensitive from a privacy standpoint. In this work, we...
Aiming at the matter of incompatible problem between workspace limiting and motion simulation fidelity, based on BP neural network theory, a kind of intelligent washout filter algorithm was designed, and simulation research was done combining water and land tank typical motion condition of working. Research results showed that intelligent washout filtering algorithm improved the simulator workspace...
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