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In order to improve the prediction accuracy, learning vector quantity (LVQ) was applied to construct solar proton event prediction model. LVQ is new type of neutral network based on competitive learning rule, which takes a supervised learning model. The structure of LVQ is a two layers neutral network. The input unit is the predictors which are some active region parameters correlated to proton event...
On the basis of analysis to existing literatures by which the thinking problems are studied using mathematic method and according to nerve foundation of thinking of human brain, several concepts such as thinking map and thinking route are proposed in this paper by imitating neuron (a kind of chemical substance) transition procedures (routes) during thinking of human brain as maps in discrete mathematics...
With the research on Levenberg-Marquardt algorithm to establish a neural network model for predicting the damage of the oil and gas layers, it can protect the layers and provide effective assistance. One predicting software system designed according to this algorithm model which is operated in the Karamay Oilfield, shows the accuracy of the predicted damage can achieve favorable expectation. And it...
Neural network analysis, an important branch in data mining, has been widely used in statistical analysis, pattern recognition, image processing, biological species division and customer division. Based on division method, the paper rationally selected initial class center, dynamically regulated the number of classification during image classification, and proposed an image recognition method. In...
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