ARTIFICIAL NEURAL NETWORK METHOD FOR EVALUATING THE DANGEROUS DEGREE OF DEBRIS FLOWS
Bai Zhi-yon · Geology and Prospecting · 2001
There are some senses in evaluation calculation of debris flows accrding to the dangerous degree for harnessing a debris flow and defining the way to reduce the effects of the debris flow. The factor which control and affect the dangerous degree of a debris flows are random and fuzzy variables, and neural network is suitably used to solve the non-linear problems because of it's character, such as the estimation of dangerous degree. The relevant neural network model is set up in the paper for the estimation of the dangerous degree of a debris flows, and the factual cases are used to train and exam the network. According to the computing and analyses, the neural network is applicable to estimate the dangerous degree of a debris flows.