- HOME
- 홈페이지 이용안내
논문 기본정보
Prediction Method of Sand Liquefaction Based on Least Square Support Vector Machine
논문 개요
| 기관명 | NDSL |
|---|---|
| 저널명 | 西北地震學報 = Northwestern seismological journal |
| ISSN | 1000-0844, |
| ISBN |
논문저자 및 소속기관 정보
| 저자(한글) | |
|---|---|
| 저자(영문) | |
| 소속기관 | |
| 소속기관(영문) | |
| 출판인 | |
| 간행물 번호 | |
| 발행연도 | 2007-01-01 |
| 초록 | Two models for sand liquefaction prediction are established according to the nonlinear classification of least square support vector machine (LSSVM). The prediction results from LSS-VM are in keeing with the actual situation in field. It shows that the models for sand liquefaction prediction based on the LSSVM is feasible,and has high accuracy. |
| 원문URL | http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=NART51686561 |
| 첨부파일 |
추가정보
| 과학기술표준분류 | |
|---|---|
| ICT 기술분류 | |
| DDC 분류 | |
| 주제어 (키워드) | Least square support vector machine,Sand liquefaction,Prediction,Classification |