螞蟻演算法最佳化倒傳遞類神經綱路評估土層剪力波速
Date Issued
2004
Date
2004
Author(s)
左天雄
DOI
922211E002046
Abstract
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.
Subjects
shear wave velocity
ant colony optimization algorithms(ACO)
penetration tests
backpropagation neural networks (BPNN)
Publisher
臺北市:國立臺灣大學土木工程學系暨研究所
Type
report
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