在崩塌風險模式的建構上，是以二元Logistic迴歸為基礎，輸出是以單

在崩塌風險模式的建構上，是以二元Logistic迴歸為基礎，輸出是以單變量(崩塌機率)為主。另提出了使用類神經網路模式，該模式可以提供多變量(崩塌機率及災害機率)輸出。

Results (English) 1:

Building collapse risk model, is based on a binary Logistic regression, the output is a single variable (avalanche probability). Another proposes using a neural network model, this model provides a multivariable (avalanche probability and probability disasters) output.

Results (English) 2:

On the construction of collapse risk model, based on the basis of binary Logistic regression output is a single variable (avalanche probability) based. Another proposed the use of neural network model that can provide multiple variables (probability of collapse and disaster probability) output.

Results (English) 3:

In the construction of the collapse risk model, the output is based on the two Logistic regression, and the output is based on the single variable (probability of collapse).