1) cross-layer association
跨层关联
1.
In spatial association transverse mining,aiming to that presented these mining algorithms based on spatial transaction didn\'t quickly mine spatial cross-layer association,an algorithm of spatial cross-layer association rules mining is proposed,which is suitable for extracting spatial cross-layer association rules in spatial association transverse mining.
在空间关联横向挖掘中,针对现有基于空间事务的挖掘算法不能快速地挖掘空间跨层关系,提出一种空间跨层关联规则挖掘算法,其适合在空间关联横向挖掘中提取空间跨层关联规则;该算法将空间事务的跨层关系转换为整数,采用自顶向下搜索策略,按非频繁项对应的属性位数递减的方式产生候选频繁项,有效地提高挖掘效率;在提取空间跨层关联规则时,实验证明它是快速的。
2) Cross level association rules
跨层关联规则
3) multi-scale correlation
跨尺度关联
4) relevance presenting levels
关联层次
5) correlation layer
关联层
1.
For the nonlinearity and dynamic behavior of transient and subtransient parameters of synchronous machines, a special correlation layer is appended to hidden layer of BP network to form an Elman neural network with memorial ability, with which .
针对同步电机暂态、次暂态参数的非线性和动态特性 ,在多层前向 BP网络中引入特殊关联层 ,形成有“记忆”能力的 Elman神经网络 ,因而可以映射系统的非线性和动态特性。
6) Associated faults
关联断层
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