Rockfall Hazard Rating and Predicting System Using Artificial Neural Network

碩士 === 國立交通大學 === 土木工程系 === 88 === Based on the experience, the professional engineer provides the rating weights of the influenced parameters in the rockfall hazard rating systems. Therefore, the given rating weights will strongly depend on anybody’s subjective sense. One can obtain more convicti...

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Bibliographic Details
Main Authors: Feng Lung Hsieh, 謝豐隆
Other Authors: Jyh Jong Liao
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/18919464907140443403