Using multi-neural network to estimate the screening effect of surface waves by in-filled trenches

Sheng-Huoo Ni, Chang Chi Hung

Research output: Contribution to conferencePaperpeer-review

Abstract

To find an efficient method to reduce or to isolate the ground vibration due to seismic waves is an important topic of actual engineering. According to scholar's study, using trenches to isolate seismic waves is an economical and effective method. There are many suggestions and relations have been developed. Nevertheless, these empirical relations come mostly from statistics methods. In the present study, three kinds of artificial neural network approaches are suggested to be used to predict an effect of isolating vibration by using trenches. In addition, results obtained will be compared with this result of multiple variable regression method.

Original languageEnglish
Pages506-513
Number of pages8
Publication statusPublished - 2000 Dec 11
EventProceeedings of the 10th International Offshore and Polar Engineering Conference - Seattle, WA, USA
Duration: 2000 May 282000 Jun 2

Other

OtherProceeedings of the 10th International Offshore and Polar Engineering Conference
CitySeattle, WA, USA
Period00-05-2800-06-02

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Ocean Engineering
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Using multi-neural network to estimate the screening effect of surface waves by in-filled trenches'. Together they form a unique fingerprint.

Cite this