基于Kolmogorov神经网络的岩性立方预测技术

I. Priezzhev, D. Danko, E. Taikulakov
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引用次数: 1

摘要

对于岩相立方体的预测,提出了新时代全功能Kolmogorov神经网络。这些三层神经网络可以定位为新一代神经网络,具有与深度多层神经网络相当的高度自由度。为了获得更准确的岩相立方,建议分两个阶段进行预测。在第一阶段,以概率立方体的形式对每个岩相进行单独预测。在第二阶段,基于最大概率原理将这些立方体连接成一个岩相立方体。
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Technology for Predicting the Lithology Cube Using Kolmogorov Neural Networks
Summary For the prediction of the lithofacies cube, it is proposed to use new age full-functional Kolmogorov neural networks. These three-layer neural networks, which can be positioned as a new generation of neural networks, have a high degree of freedom comparable to deep multi-layer neural networks. For a more accurate lithofacies cube, it is suggested to perform the forecast in two stages. At the first stage, a separate forecast of each lithofacie is made in the form of a probability cube. At the second stage, the connection of such cubes into one lithofacies cube is based on the principle of maximum probability.
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