应用人工智能方法加强非结构构件抗震设计:预测构件动态放大系数

IF 1.5 Q2 ENGINEERING, MULTIDISCIPLINARY

International Journal of Engineering Pub Date : 2023-01-01 DOI:10.5829/ije.2023.36.07a.02

B. D. Bhavani, S. P. Challagulla, E. Noroozinejad Farsangi, I. Hossain, M. Manne

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引用次数: 2

摘要

使用人工神经网络(ANNs)开发。然后，将本文提出的模型与以往研究中建立的关系进行对比。ANN模型的相关系数(𝑅)为0.97。因此，使用人工神经网络算法减少了费力和复杂分析的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Enhancing Seismic Design of Non-structural Components Implementing Artificial Intelligence Approach: Predicting Component Dynamic Amplification Factors

developed using artificial neural networks (ANNs). Following that, the suggested model is contrasted with the established relationships from the past research. The ANN model's coefficient of correlation ( 𝑅 ) was 0.97. Hence, using an ANN algorithm reduces the necessity of laborious and complex analysis.

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来源期刊

International Journal of Engineering ENGINEERING, MULTIDISCIPLINARY-

自引率

23.10%

发文量

期刊介绍： The objective of the International Journal of Engineering is to provide a forum for communication of information among the world''s scientific and technological community and Iranian scientists and engineers. This journal intends to be of interest and utility to researchers and practitioners in the academic, industrial and governmental sectors. All original research contributions of significant value in all areas of engineering discipline are welcome. This journal is published in two quarterly transactions. Transactions A (Basics) deals with the engineering fundamentals. Transactions B (Applications) are concerned with the application of engineering knowledge in the daily life of the human being and Transactions C (Aspects) - starting from January 2012 - emphasize on the main engineering aspects whose elaboration can yield knowledge and expertise that can equally serve all branches of engineering discipline. This journal will publish authoritative papers on theoretical and experimental researches and advanced applications embodying the results of extensive field, plant, laboratory or theoretical investigation or new interpretations of existing problems. It may also feature - when appropriate - research notes, technical notes, state-of-the-art survey type papers, short communications, letters to the editor, meeting schedules and conference announcements. The language of publication is English. Each paper should contain an abstract both in English and Persian. However, for the authors who are not familiar with Persian language, the publisher will prepare the translations. The abstracts should not exceed 250 words.