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A Neuron Sliding over a Boolean Matrix and Mathematical Prediction of Strong Earthquakes

机译:布尔矩阵上的神经元滑动和强地震的数学预测

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摘要

The problem of predicting strong earthquakes, which cannot be solved by the methods of seismology, is solved by simple procedures of linear algebra and pattern recognition. For linear seismic regions (such as Kamchatka and the Kuril Islands), the prediction error determined by cross validation is at most two days, and the spatial accuracy of prediction is commensurate with the size of the seismic center; the probability of detection of strong earthquakes is about 0.8, and there are no false alarms.
机译:通过线性代数和模式识别的简单过程可以解决地震学方法无法解决的预测强地震的问题。对于线性地震区域(例如堪察加半岛和千岛群岛),通过交叉验证确定的预测误差最多为两天,并且预测的空间准确性与地震中心的大小相称;发现强地震的概率约为0.8,并且没有误报。

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