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Intelligent Continuity Method of Site Classification and Characteristic Period

机译:场地分类和特征期的智能连续性方法

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摘要

This paper presents an analysis of the bi-dimensional-membership-function-based site fuzzy classification method is presented. A site fuzzy classification method based on Back Propagation (BP) network is proposed. The training of fuzzy networks of four types of standard sites is fulfilled. The BP-based method overcomes the bi-dimensional membership function's defect of being not gradual or gentle but involving irregular or abrupt breaks at the surfaces (junctures of planes). Therefore, this method makes the classification result better meet requirements of practical construction. Based on the fuzzy classification networks of four standard sites, a BP-based site classification method is proposed. Space distribution graphics of this method is provided. Thus, intelligence, accuracy and continuity of site classification are realized. Finally, an intelligent continuity method of site characteristics period is established and space distribution graphics of characteristic period are presented as well. We can hereby ascertain both a continuous seismic reflection curve and the seismic action more objectively and reasonably.
机译:本文提出了一种基于二维隶属函数的站点模糊分类分析方法。提出了一种基于BP网络的站点模糊分类方法。完成了对四种标准场所的模糊网络的训练。基于BP的方法克服了二维隶属函数的缺点,即它不是渐进的或平缓的,而是在表面(平面的交点)处出现不规则或突然的断裂。因此,该方法使分类结果更好地满足实际施工的要求。基于四个标准站点的模糊分类网络,提出了一种基于BP的站点分类方法。提供了此方法的空间分布图。因此,实现了站点分类的智能性,准确性和连续性。最后,建立了站点特征周期的智能连续性方法,并给出了特征周期的空间分布图。因此,我们可以更加客观,合理地确定连续的地震反射曲线和地震作用。

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