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A Method For Prediction Of Peak Horizontal Acceleration
http://hdl.handle.net/10458/6575
http://hdl.handle.net/10458/65753f4f01ef-2dc6-48b9-8cda-a6877c1a851c
| 名前 / ファイル | ライセンス | アクション |
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本文 (481.1 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2020-06-21 | |||||
| タイトル | ||||||
| タイトル | A Method For Prediction Of Peak Horizontal Acceleration | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| キーワード | Earthquake hazard, Peak horizontal acceleration, Regression analysis, Neural network, Prediction | |||||
| 資源タイプ | ||||||
| 資源タイプ | journal article | |||||
| 著者 |
Emami, S.M.R.
× Emami, S.M.R.× Iwao, Yuushirou× 原田, 隆典 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In this study, a model on the basis of artificial neural networks is developed to predict the peak horizontal acceleration. The neural network model provides an objective analysis method which requires neither specifying predictive functional forms nor the independence of the inside variables. The Joyner and Boore data set （1981）, was used for analysis. For comparison, one and two-step regression procedures were also applied to the same data set. Various fitness criteria have been considered, and the analysis of residuals were also conducted to evaluate the analytical results. Finally, the proposed procedure showed an agreeable capability for the required prediction of ground motion parameters, and has advantage such as less complexity, less mean square error and higher coefficient of determination when compared to the conventional methods. | |||||
| 書誌情報 |
11WCEE en : Eleventh World Conference on Earthquake Engineering 巻 1238, 発行日 1996 |
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| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
