摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习的新报告。根据消息来源来自中华人民共和国成都的NewsRx记者，研究称：“这项研究的目的是提出一种基于物理仿真和机器学习相结合的n增强混合方法研究地震液化特征的空间分布。这种创新的方法主要包括两个部分：一是采用基于物理层sic的频率波数方法建立研究区地震动时空口场，为研究区地震动提供评估场地液化特性（如液化潜力指数）的Quan tites。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “This study aimsto propose a n enhanced hybrid approach that combines physics-based simulation and machine le arningto investigate the spatial distribution of seismic liquefaction character istics. This innovative approachcomprises two main components: Firstly, the phy sics-based frequency-wavenumber method is employedto construct the spatial-temp oral field of ground motion in the study area, which provides ground motionquan tities for assessing the liquefaction characteristic (e.g., liquefaction potenti al index) of the site.”
NETL
NSTL