The paper presents a typical self-weighting sample design for the stratified three-stage or over sampling.
本文提出了分层三阶段及以上抽样的自加权抽样设计方法。
Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
The controller includes several self adaptive controllers operating in parallel. The stable signal is obtained by weighting of these controllers.
它包括几个自适应控制器且并联工作，稳定信号由这几个控制器加权获得。
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