针对当前云网络信息数据挖掘过程存在挖掘存储容量不足,数据挖掘效率低,挖掘成功率较差等不足,提出了一种基于人工智能裁决机制的云网络信息数据挖掘算法。引入人工智能裁决框架机制,统筹兼顾传输带宽、挖掘带宽、节点缓存等影响因素,...针对当前云网络信息数据挖掘过程存在挖掘存储容量不足,数据挖掘效率低,挖掘成功率较差等不足,提出了一种基于人工智能裁决机制的云网络信息数据挖掘算法。引入人工智能裁决框架机制,统筹兼顾传输带宽、挖掘带宽、节点缓存等影响因素,获取数据挖掘强度指数,且通过该指数强化数据挖掘效率,实现了云网络条件下数据的高效并发挖掘。仿真实验表明:与当前广泛使用的超线性数据挖掘算法(Superlinear Data Mining algorithm,SDM算法)、螺旋自适应数据挖掘算法(Spiral Adaptive Data Mining algorithm,SADM算法)相比,文中算法能够显著提高挖掘效率,降低挖掘时延及挖掘错误率,有效改善网络因挖掘因素而导致的时延难题,具有显著的实际部署价值。展开更多
The method in which a source is set on the surface and electric potential is received in the borehole is called surface-borehole electric potential technique. Technique of surface-borehole electric potential was emplo...The method in which a source is set on the surface and electric potential is received in the borehole is called surface-borehole electric potential technique. Technique of surface-borehole electric potential was employed to study electric response of layered formation. The electric potential was obtained by solving Poisson equation with finite difference method. In the course of calculation, forward modeling wilth finite difference method was realized by adopting bandwidth non-zero storage technique and the incomplete Cholesky conjugate gradient method. The results show that method of surface-borehole can acquire anomalous electric potential corresponding tc geo-electric layers. In addition, application of appropriate mathematical operator can improve the resolution. Moreover, overburden low resistivity layers have severe influence on measuring results of surface-borehole electric potential. However, bottom low resistivity layers play a positive role in the measurement.展开更多
文摘针对当前云网络信息数据挖掘过程存在挖掘存储容量不足,数据挖掘效率低,挖掘成功率较差等不足,提出了一种基于人工智能裁决机制的云网络信息数据挖掘算法。引入人工智能裁决框架机制,统筹兼顾传输带宽、挖掘带宽、节点缓存等影响因素,获取数据挖掘强度指数,且通过该指数强化数据挖掘效率,实现了云网络条件下数据的高效并发挖掘。仿真实验表明:与当前广泛使用的超线性数据挖掘算法(Superlinear Data Mining algorithm,SDM算法)、螺旋自适应数据挖掘算法(Spiral Adaptive Data Mining algorithm,SADM算法)相比,文中算法能够显著提高挖掘效率,降低挖掘时延及挖掘错误率,有效改善网络因挖掘因素而导致的时延难题,具有显著的实际部署价值。
基金Project supported by Global Center of Excellence in Novel Carbon Resource Sciences,Kyushu University,Japan
文摘The method in which a source is set on the surface and electric potential is received in the borehole is called surface-borehole electric potential technique. Technique of surface-borehole electric potential was employed to study electric response of layered formation. The electric potential was obtained by solving Poisson equation with finite difference method. In the course of calculation, forward modeling wilth finite difference method was realized by adopting bandwidth non-zero storage technique and the incomplete Cholesky conjugate gradient method. The results show that method of surface-borehole can acquire anomalous electric potential corresponding tc geo-electric layers. In addition, application of appropriate mathematical operator can improve the resolution. Moreover, overburden low resistivity layers have severe influence on measuring results of surface-borehole electric potential. However, bottom low resistivity layers play a positive role in the measurement.
