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Deductive Models of Concentration Field for Locating the Death in Mine and Its Application
引用本文:ZHOU Xin-quan,XU Min,ZHANG An-qi. Deductive Models of Concentration Field for Locating the Death in Mine and Its Application[J]. 保鲜与加工, 2004, 0(12): 63-67
作者姓名:ZHOU Xin-quan  XU Min  ZHANG An-qi
摘    要:Based on the idea of locating the death in the collapsed area of mine by the gas released from the organism decomposition proposed by the authors, this paper presents the Least Multiply Square (LMS) model for the location and develops two kinds of ANN models for the locating computation. The results of the organism decomposition experiment indicates that the Back Propagation (BP) is better for locating the death in mine. Above works are set up the foundation of the theoretical analysis and the technical development for locating the death by analyzing the concentration distribution of the marker gas, mercaptans, in mine. Based on the technology developed, the period, for the rescue team members staying in that risk area, can be shorten. The rescue work achieve a step forward for more reasonable, feasible and efficient.

关 键 词:organism decomposition  location  artificial neural networks  mine disaster rescue
修稿时间:2004-09-08

Deductive Models of Concentration Field for Locating the Death in Mine and Its Application
ZHOU Xin-quan,XU Min,ZHANG An-qi. Deductive Models of Concentration Field for Locating the Death in Mine and Its Application[J]. Storage & Process, 2004, 0(12): 63-67
Authors:ZHOU Xin-quan  XU Min  ZHANG An-qi
Abstract:Based on the idea of locating the death in the collapsed area of mine by the gas released from the organism decomposition proposed by the authors, this paper presents the Least Multiply Square (LMS) model for the location and develops two kinds of ANN models for the locating computation. The results of the organism decomposition experiment indicates that the Back Propagation (BP) is better for locating the death in mine. Above works are set up the foundation of the theoretical analysis and the technical development for locating the death by analyzing the concentration distribution of the marker gas, mercaptans, in mine. Based on the technology developed, the period, for the rescue team members staying in that risk area, can be shorten. The rescue work achieve a step forward for more reasonable, feasible and efficient.
Keywords:organism decomposition  location  artificial neural networks  mine disaster rescue
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