Usage of Artificial Neural Network to determineIandslide hazard degree
|Location||21th symposium on geosciences|
|Holding Date||21 May 2008|
Artificial Neural Network is a new method to solve engineering problems.
This method is constructed based on learning principals of biological neural network. Substitution of learning mechanism instead of learning algorithm caused the widely extension of researches in this field.
The aim of this study is to produce, train and test of an ANN to determine landslide hazard degree in khatir kuh_Sefidargoleh (in Semnan province).
In this direction after analysis of a lot of data, it was specified that a multi layer perceptron with 7 neuron in input layer, 20 neuron in hidden layer can be produce a good results for zonation of landslide hazard in study region.
Keywords: Artificial Neural Network ? perceptron ? landslide