کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4948591 | 1439618 | 2016 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
System reliability analysis of slopes using least squares support vector machines with particle swarm optimization
ترجمه فارسی عنوان
تجزیه و تحلیل قابلیت اطمینان سیستم از دامنه ها با استفاده از حداقل مربعات پشتیبانی از ماشین های بردار با بهینه سازی ذرات
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
This paper presents an intelligent response surface method for evaluating system failure probability of soil slopes based on least squares support vector machines (LSSVM) and particle swarm optimization. A novel machine learning technique LSSVM is adopted to establish the response surface to approximate the limit state function based on the samples generated by computer experiments. Subsequently, the proposed response surface is utilized in conjunction with Monte Carlo simulation to obtain the desired reliability estimation. The hyper-parameters which are crucial to the performance of LSSVM are selected by a swarm intelligence algorithm called particle swarm optimization. Experimental results on three examples show that the proposed system reliability analysis method is promising for soil slopes with obvious system effects.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 209, 12 October 2016, Pages 46-56
Journal: Neurocomputing - Volume 209, 12 October 2016, Pages 46-56
نویسندگان
Fei Kang, Jing-shuang Li, Jun-jie Li,