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机构地区:[1]天津市测绘院,天津300381
出 处:《城市勘测》2017年第4期138-141,共4页Urban Geotechnical Investigation & Surveying
摘 要:在沉降监测工程实践中,根据沉降趋势的特点,而采用不同的预测算法,有助于提高沉降预测结果的精度。由于算法各自的局限性,综合不同算法各自的优势,成为目前预测算法研究的热点。本文在编程实现附加动量法和基于遗传算法的附加动量法的基础上,研究了种群规模对基于遗传算法的附加动量法收敛速度的影响,确定了种群规模的大小。最后,结合样本数据,对两种算法的收敛速度以及预测精度通过量化的指标进行比较。本文的结论对沉降监测的工程实践具有一定的借鉴意义。In the practice of engineering settlement monitoring,according to the difference of characteristics of the settlement trend,the accuracy of the prediction results will be different using different algorithms. Due to the limitations of the algorithm,combing the characteristics of different algorithms with each other has become the mainstream of research.In this paper,author implemented the back-propagation with momentum and back-propagation with momentum based on genetic algorithm. By researching the impact of population size on the convergence rate of back-propagation with momentum based on genetic algorithm to determine the momentum. Finally,combined with the sample data,author compared the convergence rate of algorithms and forecast accuracy.The conclusion of this paper provides reference to the practice of engineering settlement monitoring.
关 键 词:沉降监测 附加动量法 基于遗传算法的附加动量法
分 类 号:TU196.2[建筑科学—建筑理论] P209[天文地球—测绘科学与技术]
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