https://scholars.lib.ntu.edu.tw/handle/123456789/169126
Title: | 螞蟻演算法最佳化倒傳遞類神經綱路評估土層剪力波速 | Authors: | 左天雄 | Keywords: | 剪力波速;螞蟻演算法(ACO);貫入試驗;倒傳遞類神經網路(BPNN);shear wave velocity;ant colony optimization algorithms(ACO);penetration tests;backpropagation neural networks (BPNN) | Issue Date: | 2004 | Publisher: | 臺北市:國立臺灣大學土木工程學系暨研究所 | Abstract: | 本研究針對土層剪力波速分析,分別以標準貫 入試驗(SPT)及圓錐貫入試驗(CPT)所得之土壤參 數,以及懸盪式井測資料擷取系統(suspension PS logger)及電子震測錐貫入試驗(SCPT)所量測之土 層剪力波速,進行倒傳遞類神經網路模式研究,更 以螞蟻演算法取代傳統人工試誤方式,自動化、最 佳化、有效率地決定倒傳遞類神經網路之結構。 Using optimizing back-propagation neural networks (BPNN) with ant colony optimization algorithms , the shear wave velocity of soil stratum may be accessed by the parameters obtained from suspension PS logger tests and and electronic seismic cone penetration tests (SCPT) ,respectively. |
URI: | http://ntur.lib.ntu.edu.tw//handle/246246/2843 | Other Identifiers: | 922211E002046 | Rights: | 國立臺灣大學土木工程學系暨研究所 |
Appears in Collections: | 土木工程學系 |
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922211E002046.pdf | 309.27 kB | Adobe PDF | View/Open |
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