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Based on Cluster Cover Algorithm in Coal Mine Gas Forecast Application

机译:基于聚类覆盖算法的煤矿瓦斯预测应用

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Compares with the traditional forward neural network, the cover algorithm has the running rate to be quick, precision high characteristic, but the cover algorithm's initial domain center is the stochastic selection. The experiment indicated that the network performance and the study order have the close relationship. Proposed one kind of new improvement overlapping cover algorithm in the forward neural network overlapping cover algorithm foundation-based on the cluster overlapping cover algorithm. And utilizes this algorithm in the coal mine gas predict that the experimental result indicated that this algorithm suits compared to the original cover algorithm in the coal mine gas forecast.
机译:与传统的前向神经网络相比,覆盖算法具有运行速度快,精度高的特点,但是覆盖算法的初始域中心是随机选择。实验表明,网络性能与学习顺序密切相关。在前向神经网络重叠覆盖算法的基础上,提出了一种基于聚类重叠覆盖算法的新型改进重叠覆盖算法。并在煤矿瓦斯预测中使用该算法,实验结果表明,该算法与煤矿瓦斯预测中的原始覆盖算法相比更为合适。

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