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Order-lifted data inversion/retrieval method of neighbor cells to implement general high-order schemes in unstructured-mesh-based finite-volume solution framework

Autor: Guo, Hao, Jiang, Peixue, Ma, Xiaofeng, Hu, Boxing, Zhu, Yinhai

This study introduces an order-lifted inversion/retrieval method for implementing high-order schemes within the framework of an unstructured-mesh-based finite-volume method. This method defines a special representation called the data order-lifted in

Externí odkaz: http://arxiv.org/abs/2404.08952

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Report

Indeterminate Probability Neural Network

Autor: Yang, Tao, Liu, Chuang, Ma, Xiaofeng, Lu, Weijia, Wu, Ning, Li, Bingyang, Yang, Zhifei, Liu, Peng, Sun, Lin, Zhang, Xiaodong, Zhang, Can

We propose a new general model called IPNN - Indeterminate Probability Neural Network, which combines neural network and probability theory together. In the classical probability theory, the calculation of probability is based on the occurrence of ev

Externí odkaz: http://arxiv.org/abs/2303.11536

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Akademický článek

Coal-rock image recognition method integrating drilling geological information

Autor: LI Ji, MA Xiaofeng, WU Jieqi, QIANG Xubo, WU Liyang, YAN Bo, DONG Jihui, CHEN Chaosen

Publikováno v: Gong-kuang zidonghua, Vol 50, Iss 8, Pp 38-43, 68 (2024)

The current deep convolutional neural network models applied to coal-rock image recognition have problems such as large volume and cumbersome calculation process. It is difficult to meet real-time detection requirements, and it has poor adaptability

Externí odkaz: https://doaj.org/article/0b4ec46f673249cf824d1b7b9b5c1d66